Welcome the #Reliabilitygang Podcast! I would like to welcome you all to my reliability journey. I am passionate about reliability and I want to share as much as I can with everyone with my experiences. Stories are powerful and my aim of this outlet is to gather as many insights and experiences and share them with the world. Thanks for joining the #reliabilitygang.
You Cannot Buy Reliability Without Doing The Groundwork - With Dan Bridges
Send us Fan Mail Breakdown culture is expensive, exhausting, and strangely normal in a lot of factories. We wanted a straight-talking conversation about what actually shifts the dial, so we sat down with Dan Bridges to trace his reliability journey through soft drinks manufacturing and the hard lessons that come with it. If you’ve ever watched a team do “regimented” maintenance only to see the same faults return, you’ll recognise the trap: activity without value, OEM checklists without context, and a blanket approach that never goes deep enough. We dig into how reliability leaders win senior leadership support by changing the language from engineering detail to outcomes like uptime, trend improvement, reduced overtime, and the true cost of firefighting. We also talk about culture on the shop floor: why being visible matters, why authenticity builds trust faster than a polished persona, and how choosing your battles keeps progress moving when resources are tight. Along the way, we tackle the reality of headcount reductions, contractor dependency, and what it takes to retain site knowledge and engineer motivation. Training and development get a proper rethink too. We explore why rigid qualifications and exam pressure can miss the point, and why targeted courses, mentoring, and understanding learning styles can build stronger engineers sooner. Tools like DISC profiling come up as a practical way to communicate better across different personality types, especially when a team’s energy levels and decision styles vary. We finish by challenging the predictive maintenance hype: wireless sensors, Industry 4.0 marketing, and AI promises do not create reliability on their own. Without criticality, CMMS discipline, and defect elimination, you just collect data nobody has time to use. If you found this useful, subscribe, share it with a reliability mate, and leave us a review. What part of your maintenance strategy needs the biggest reset? Support the show
Bridging Generations In Reliability - With Vineet Thuvara
Send us Fan Mail AI is moving at breakneck speed, but the plant floor still runs on trust, habit, and hard-earned routines. We sit down with Vinit to unpack the real challenge behind “digital transformation” in reliability: designing tools that work for an experienced workforce that values buttons, PDFs, and proven processes, while also meeting the expectations of early-career engineers who want fast answers, mobile access, and connected systems. We get practical about what actually closes the gap. Instead of big-bang rollouts, we talk roadmaps, small experiments, and pilots that demonstrate value without risking operations. We also draw a firm line around safety and accuracy: in reliability engineering, there is no room for hallucination. A fault has to be a fault, and any AI-assisted workflow must be validated, secure, and compliant across industries and markets. From there, we zoom out to connected reliability and why data trapped in folders and silos limits predictive maintenance, pattern recognition, and decision-making. We explore how central platforms such as CMMS and connected ecosystems enable sharing, faster analysis, and better prioritisation, even when legacy equipment and mixed vendors complicate integration. We also touch on how “retro” tech keeps a foothold, and why value is better measured by outcomes than by the physical box in your hand. If you care about asset reliability, maintenance strategy, industrial IoT, condition monitoring, and the culture that makes change stick, you’ll take plenty from this conversation. Subscribe for more, share it with a colleague who’s wrestling with adoption, and leave us a review with your answer: what would make new tech truly trustworthy in your plant? Support the show
How Generative AI Turns Maintenance Data Into Action with Jay Hack
Send us Fan Mail Your CMMS probably knows more about your plant than any one person does, but most of that information is buried in reports, menus and half-completed work orders. While we were at Accelerate 2026, we sat down with Jay Hack to look at four practical ways generative AI is being used to make maintenance and reliability work easier, faster and more accurate. The first was the ability to simply talk to your data inside eMaint. Instead of needing to know how to build reports or search through different parts of the system, you can ask a normal question and get an answer back from the CMMS. But as Jay explains, the AI itself is not necessarily the hardest part. The real challenge is making sure the right people have access to the right information, especially across different sites, departments and levels of the business. We then looked at two areas that could make a real difference on the plant floor. The first is automated SOP generation. The system can scan OEM manuals and technical PDFs and turn that information into practical procedures that can be added to work orders. There is still a human involved in checking and approving the content, but it could save a huge amount of time and help improve consistency. The second is voice-based work requests. Technicians and operators can speak naturally into the system, even while they are out on the plant, and the CMMS can then populate the relevant fields. Instead of receiving a work request that just says “pump broken”, you can capture what the operator saw, heard or experienced and create a much better maintenance history. We also discussed how AI could support global teams by searching document libraries, translating manuals and helping standardise maintenance and reliability practices across different sites and countries. Looking further ahead, there is also the potential for AI-powered competency mapping, using a person’s actual work order history and experience to better understand skills and identify development gaps. This was a really practical conversation about where AI can genuinely support maintenance teams, rather than just adding more technology for the sake of it. If you are interested in AI in maintenance, CMMS adoption, preventive maintenance and digital transformation that actually works, give this episode a listen. What is the first maintenance workflow you would want AI to improve? Support the show
Handheld Vs Wireless Vs Continuous Monitoring For Reliable Vibration Fault Detection
Send us Fan Mail Vibration analysis can be the difference between planned work and an expensive surprise, but only if you collect the right data in the right way. After a week packed with fresh ideas from Fluke’s Accelerate event in Austin, we sit down and get practical about what vibration monitoring can detect, what it struggles with, and why so many programmes fail on strategy rather than technology. We unpack the fundamentals that quietly shape every result: how long you capture the time waveform, how high your frequency range needs to be, and what that means for bearings, gears, envelope analysis, and early fault detection. From there we compare the three big acquisition routes. Handheld data collection brings high-resolution flexibility and the huge advantage of having an engineer at the machine, but it can become inefficient when experts spend time gathering data on low-risk assets or when the plant isn’t running on survey day. Wireless vibration sensors can fill the gaps with better trending and easier installation, yet they come with real-world constraints: connectivity dropouts, battery life, limited frequency response, and devices that often collect data without understanding load or running state. Then we make the case for wired continuous monitoring on the most critical equipment: stable sensors in the load zone, long captures for slow-speed machinery, smarter alarms tied to operating conditions, and far fewer blind spots. We also talk capability building, from training teams to collect repeatable data to why you should be cautious of black-box AI recommendations if nobody on site understands the basics. If you want a vibration analysis strategy that actually reduces downtime, subscribe, share this with your maintenance team, and leave us a review. What assets are you trying to protect right now? Support the show
Closing The Engineering Skills Gap - With Parker Burke
Send us Fan Mail The engineering skills gap is already shaping what factories can deliver, how reliable our assets can be, and how quickly new infrastructure can scale. We’re joined by Parker, president of Fluke, and we dig into what we’re hearing from the next generation of technicians and engineers and what leaders can do right now to make these careers easier to discover and harder to ignore. A highlight comes from our time with students at Texas State Technical College. The talent pipeline isn’t “one type” of person: we meet people straight out of high school, veterans bringing a decade of service, and career changers who want a fresh start and a future they can control. That range forces a rethink of how we talk about the trades, reliability engineering, and technical careers. When we clearly explain the menu of opportunities, from working globally to owning your own business, we give people a reason to lean in. We also get practical about education and early exposure. Schools are moving beyond traditional shop class into modern STEM programmes, including robotics, 3D printing, and automation. The goal is to make hands-on learning engaging and fun while still building real skill. Parker shares how Fluke supports the next generation through internships, training, and partnerships that put current tools into classrooms, and we connect those skills to high-growth areas like data centres where power quality and reliability matter every day. If you care about workforce development, manufacturing, and keeping great people, you’ll take away a simple message: meaning and mentorship are not “nice to have”. They are the system. Subscribe, share this with someone starting their career, and leave us a review with your answer: what first pulled you towards engineering or the trades? Support the show
Building A Single Hub For Condition Monitoring Data
Send us Fan Mail You can have all the data in the world coming out of your condition monitoring programme… vibration data, OGI surveys, thermography images, air leak reports… and still not improve reliability. And it usually comes down to one simple thing. No one can actually see what’s going on end to end. In this episode, we talk properly about that. The gap between finding issues and actually fixing them. Because too often the insight is there, but it’s sat in emails, reports, or spreadsheets and nothing really moves forward. We get into the systems we’re building to solve that. Things like customer portals where everything sits in one place. Recommendations, evidence, current status, deadlines. So actions don’t just disappear or get forgotten about. Everyone can see what needs doing and where things are at. We also break down what should sit where, because this is where a lot of people get it wrong. Your CMMS is there to manage work. History, failure codes, maintenance actions. That’s its job. But it’s not built to visualise vibration data or leak images. Trying to force it into that role just creates friction. That’s why we’re pushing towards more of a reliability hub approach. Something that sits alongside your CMMS and, where possible, links into it. So when you raise a recommendation, it can turn straight into a work order with proper traceability. And where integration isn’t possible because of security or system limitations, we still need that feedback loop. So we talk about simple, practical ways to capture comments, updates, and closures without slowing engineers down or adding more admin. We also get into the value of closing the loop properly on repairs. When you can link the fix back to the original condition monitoring finding, everything becomes clearer. Photos, verification, root cause… it all starts to tell a story. People understand what those “high readings” actually meant. And more importantly, what needs to change to stop it happening again. There’s also a lot of money being left on the table in areas people overlook. Air leaks are a big one. They just sit there costing thousands until someone actually takes ownership and fixes them. And we touch on RCM and FMECA as well. How to keep them simple and useful, rather than turning them into massive Excel exercises that no one wants to touch. If you’re serious about predictive maintenance, defect elimination, and building systems that actually work for engineers, this one will land. If it does, share it with someone you work with, subscribe to the podcast, and leave a review so we can get it out to more people. And I’d be interested to hear this… What would give you better visibility on your site right now? Support the show
Why Mentorship Beats Tools When Growing Reliability Skills
Send us Fan Mail Mentorship beats tools. Full stop. I’ve been on the road with Maintain Reliability across food factories, metal plants and logistics sites, and the pattern is the same everywhere. Companies invest in systems before they invest in judgement. They gather more data before they build the confidence to act on what they already know. Then they wonder why the breakdowns keep coming. The issue is rarely a lack of information. It’s a lack of guided decision making. Training gives knowledge. Mentoring builds judgement. There’s a big difference. In a classroom everything makes sense. On a live plant with production breathing down your neck and budgets under pressure, it’s a different game. That’s where experience matters. Someone standing next to the engineer saying, focus here, not there. Fix this first. Leave that for now. Sequence it properly. Order is everything in reliability. Before we talk about monitoring strategies, we ask simple questions. Is planning and scheduling tight. Are critical assets clearly defined. Is lubrication consistent. Are work orders closed properly. Do people understand their roles. If those foundations are weak, adding more layers just increases confusion and backlog. When the basics are strong, performance compounds. A proper reliability audit is usually the turning point. Not a tick box exercise. A real look at how the plant operates. It exposes gaps in communication, spares, lubrication standards, ownership and accountability. More importantly, it gives leadership clarity. It turns reliability from a cost into a structured improvement plan. Technology has its place. We use condition monitoring every day. But the team must own the data. They must understand what a trend means, what the risk is, and what action follows. Without that, nothing changes. I’ve seen engineers with almost no budget transform a site because they closed the loop fast and acted decisively. I’ve also seen sites with serious investment still stuck reactive because culture didn’t support action. Reliability works when people take ownership. When KPIs drive behaviour. When leaders back decisions. And when mentors hold the rope when pressure hits. If you want results that last, start with an honest audit. Build a roadmap you can defend. Strengthen the people. Then layer in the systems. That’s how we do it at Maintain Reliability. Support the show
Why More Data Won’t Fix A Bad Strategy And How To Stop Defects At The Gate
Send us Fan Mail What if the problem isn’t your data at all but the way you’re trying to use it? Too many plants are stacked with sensors dashboards and alerts yet they are still fighting the same fires every week. I see it constantly. Technology gets layered on top of a weak maintenance strategy and everyone is surprised when nothing really changes. In this conversation I speak openly about an uncomfortable truth. Sensors do not fix broken thinking. Structure does. Planning does. Stopping defects before they ever enter the plant does. We talk honestly about the skills gap and how it quietly drives reactive behaviour. No software will ever replace judgement that is built through training experience and time on the tools. From route based vibration done properly with strong visual observations to acceptance testing that catches motor issues most sites never look for like impedance imbalance these simple disciplines reduce risk and cost when they are done consistently. We also have a real conversation about wireless versus wired monitoring. No hype. Just reality. Load variation mounting quality battery life signal stability over time. The message is simple. The method has to fit the failure mode and the business need not the trend. To help decisions stick I walk through modelling that turns engineering sense into numbers leadership can actually trust. When you map functional failures consequences and detectability you can compare strategies clearly. Run to failure redesign handheld condition monitoring or online systems. You can see the cost the risk and the expected failures over time. What comes through again and again is that reliability improves fastest when we focus on fundamentals. Better design better planning and scheduling precision alignment and strong repair standards. We share real stories including a blower that went red within days despite being monitored to show why reliability has to be built in from the start. If you are tired of dashboards that look good but change nothing and you want to focus on the actions that actually improve outcomes this conversation is for you. Subscribe for more honest conversations about reliability. Share this with someone who loves tools more than systems. And leave a review with one change you are committing to this quarter. Support the show
From Data To Decisions: Motor Testing That Actually Improves Reliability - With Mark Gurney
Send us Fan Mail Ever wondered how a “high-efficiency” motor can start wasting energy and damaging bearings before it’s even been switched on? We did too. So we tested it. Using offline motor circuit analysis alongside online motor current signature analysis , we inspected brand-new IE4 motors still sitting in their crates. What we found changed the conversation completely. Critical impedance imbalance straight out of the box. One motor already showing early winding defects before it ever saw load. That’s the moment labels stop mattering and evidence takes over. This episode walks through why pairing de-energised and energised testing matters . Offline MCA tells us what’s happening in the windings – contamination, resistive imbalance, insulation condition. Online MCSA, sampled at 44 kHz with serious resolution, shows us what vibration often can’t: rotor bar issues, air-gap problems, electrical harmonics, inverter-driven bearing currents. In difficult environments – noisy plants, submersible pumps, generators, limited access assets – current signature analysis often gives cleaner, more repeatable insight than vibration alone. We’re seeing faults that used to hide in the noise. And this isn’t theory. Across 750+ motors tested in the field , we see a clear link between impedance imbalance and winding health: • <5% – normal • 5–8% – defect initiation • 8–15% – accelerated damage • >15% – critical That gives teams something powerful: defensible alarm limits and a simple acceptance test that stops bad assets entering the plant. There’s a practical win too. On one motor we reduced resistive imbalance from over 30% down to around 3.8% just by cleaning and correctly torquing the terminations. Test. Fix. Retest. Immediate improvement. The real gains come when sites take this seriously: Acceptance testing written into purchase orders. Evidence required from the factory. Faults confirmed using at least two technologies. That’s how you reduce energy loss, prevent shaft currents from destroying bearings, and turn condition monitoring into real reliability improvements – not reports that sit on a shelf. If uptime matters. If energy efficiency matters. If you want better decisions with less noise and less drama. This episode shows the path: measure what matters, set your own standards, verify the fix, and keep learning. Enjoy the episode. If it helps you rethink your motor strategy, subscribe, share it with a teammate, and drop a quick review with your biggest testing win or surprise. Support the show
What happens when maintenance leaders share openly across industries and borders - With Steve Morris
Send us Fan Mail Reliability doesn’t fail because the maths is wrong. It fails because of people. That’s where we begin this straight-talking conversation with Steve Morris, the driving force behind Mainstream. For more than 30 years he has been building something different: a movement that puts real maintenance leaders on stage, replaces the hero firefighter with predictable performance, and keeps the community alive all year round so practitioners can share what actually works without the sales pitch. We look back at where it started, from a handful of TPM calls to what has grown into the biggest reliability conference in the Southern Hemisphere. But what makes it stand out is how it protects the quality of the peer group, only puts customers on stage, and is built on research that identifies the real blockers—communicating risk, finding funding, and leading culture change. Steve lifts the lid on innovation theatres, curated networking, and the free online platform that now connects more than 5,000 professionals across industries. From mining and water to food and oil and gas, the challenges are different but the root causes are the same—people, incentives, language, trust, and habits. We also look ahead to Mainstream UK. This will be a focused two-day event with five concurrent tracks, global storytellers from Woodside to Mars, and pricing that removes the excuses. If you have ever felt your best preventative work goes unseen while the 2am saviour gets all the recognition, this is your chance to flip the script. It is about rewarding prevention, learning how to sell the value in finance’s language, and being in rooms where practitioners lead the conversation. The next five years are critical for reliability. Teams are ageing, technology is moving fast, and the skills gap is widening. The advantage will go to those who make the time to think, to share, and to adopt what already works. If this resonates, subscribe for more conversations with reliability leaders, share the episode with your team, and leave a review so others can find it. Most importantly, connect with the Mainstream community and take one idea back to your site this month. Support the show
Electric Motor Management Revolution
Send us Fan Mail When most people think reliability, vibration analysis is the first thing that comes to mind. But what about the electrical side of your motors. That’s where a lot of hidden damage is happening and it’s often ignored. In this episode we get into shaft current. It’s been around since variable speed drives first hit the scene but it’s still not well understood and definitely not well managed. These stray electrical currents eat away at bearings and windings, quietly cutting motor life down by decades. The scary part is that from what we are seeing around 90 percent of drive installs haven’t been designed properly to deal with it. I reference the teachings of electrical condition monitoring expert Mark Gurney to break this down. We look at how to actually detect the issue with oscilloscopes, Rogowski coils and the SKF TechEd tool. We explain the difference between common mode and circulating currents and why quick fixes like grounding rings aren’t always the silver bullet people think they are. Done wrong they can even make the problem worse. We also talk about Motor Current Signature Analysis MCSA. For me this is the future of motor testing. It gives you the ability to pick up not just electrical faults but mechanical ones too. Bearings rotor bars even belt tension can all be identified just from reading the motor’s electrical signal at the MCC. If you’re serious about IoT and advanced monitoring MCSA is a game changer compared to just scattering sensors everywhere. The bottom line is this. Why are we okay with motors failing after 10 years when they are designed to run 30 or 40. It’s time to move beyond only looking at vibration and start treating electrical testing as a key part of reliability. Our most critical assets deserve that level of care. Support the show
The Future of Reliability - Why AI Can't Replace Maintenance Experience
Send us Fan Mail The reliability landscape is rapidly transforming, but are organizations truly ready for this evolution? In this thought-provoking episode, we reunite after our individual "side quests" working with different customers to discover we've both encountered the same concerning pattern across manufacturing facilities. While technology advances at breakneck speed—from pixelated camera phones to sophisticated AI systems in just a few decades—the cultural foundations of reliability and maintenance strategies are evolving at a glacial pace. This creates a dangerous disconnect: companies eagerly investing in IoT sensors, machine learning algorithms, and data historians while neglecting fundamental reliability practices that would make these investments worthwhile. We share a sobering case study of a critical cooling tower failure that cost over £100,000 in emergency measures, despite previous recommendations for a £2,000 monitoring solution. This exemplifies how organizations often pursue technological silver bullets while overlooking basic maintenance fundamentals. The cooling tower had never received lubrication despite being a lubrication-dependent motor—a simple practice that could have prevented catastrophic failure. The episode explores why AI and machine learning belong at the top of the reliability maturity assessment, not as shortcuts to excellence. While these technologies show tremendous promise, they require clean historical data, established maintenance practices, and experienced professionals who understand failure modes to interpret their findings. Without these foundations, organizations risk drowning in information while suffocating for wisdom. Whether you're a maintenance professional navigating digital transformation or a leader making technology investment decisions, this episode offers crucial perspective on balancing innovation with reliability fundamentals. The future belongs to those who master both. Support the show
Reliability Champions: Inside SKF's Maintenance Excellence Journey with Pablo Porcelana SKF
Send us Fan Mail What does it really take to keep 81 manufacturing sites around the world running at world-class reliability standards? In this episode, I sat down with Pablo, the Reliability Champion at SKF, the world’s leading bearing manufacturer, to find out. And this chat was packed with gold. Pablo opened up about how SKF have built something seriously special. Their Maintenance Excellence system brings together the best of Japanese TPM and reliability-centered maintenance to create a global standard that actually works, site to site, culture to culture. But here’s the standout bit for me. It’s not just about the systems or tools. It’s about the people. SKF have cultivated a real community of over 400 maintenance professionals across the globe. They’re not just clocking in and out. They’re sharing wins, solving problems together, and raising the bar as a unit. We also talked about their week-long Maintenance Excellence Bootcamps run across three continents, combining deep-dive training with hands-on work to embed excellence into their culture. Add in their push towards smarter CMMS rollouts and the integration of AI for predictive maintenance, and it’s clear these guys aren’t just keeping up. They’re leading the way. The part that stuck with me most was this quote from Pablo: "You can have the most perfect system in the world, but if the people aren’t on board, it’s worthless." That hits home. It’s not the tech. It’s the trust. It’s the culture. It’s the belief that people make reliability real. Whether you’re running one site or a global operation, there’s something in this conversation for everyone who believes in better maintenance. Tune in and see how SKF keep evolving while staying true to what matters most: people, purpose, and precision. Support the show
Human-First Maintenance: Transforming Plants Through People With Joe Anderson (Reliability X)
Send us Fan Mail In this episode, I sat down with Joseph Anderson from Reliability X for one of the most honest and refreshing conversations I’ve had on reliability. We didn’t just talk tools, data, and KPIs… we talked about what really matters: people. Joseph shares his own journey, from what he calls being a “defect initiator” (yep, he says he would’ve fired himself back then!) to becoming a leader who changed plant performance by focusing first on the people behind the machines. What really hit me was when he mentioned that maintenance departments have an 80–85% divorce rate. It stopped me in my tracks. That stat alone says it all: reliability is about more than machines. It’s about creating workplaces that don’t destroy home lives. What I love about Joseph is he breaks down reliability into simple human truths. Relationships between operators and maintenance, leaders who actually listen, collaboration over blame. He even draws lessons from his time running restaurants to show how these principles go beyond manufacturing—they’re about how we treat people, full stop. We also got real about why companies trip themselves up: blaming individuals instead of fixing broken systems, chasing completion rates instead of real results, buying the latest tech without teaching people how to use it properly, and cutting costs today only to pay big later. Through it all, Joseph keeps coming back to the same truth: when people know you care, they’ll care for the equipment. It’s that simple. If you lead a maintenance team, run a plant, or just want to get better at building a strong, reliable culture, this one’s for you. As Joseph says: "Maintenance is simple. Don’t overcomplicate it. Don’t make it harder than it needs to be." Support the show
The Real Value of Reliability
Send us Fan Mail What’s the real value of reliability in your organisation? It’s a simple question—but one that’s often overlooked before businesses jump into big investments in technology or strategy. And yet, it’s the question that sits at the heart of effective asset management. Over the years, working closely with a wide range of organisations, we’ve seen a common pattern: many skip the most important first step—getting crystal clear on what reliability actually means for their business. Without that alignment, even the best condition monitoring tools or maintenance strategies can miss the mark. In this episode, we talk about how to build a strong business case for reliability—one that really connects with leadership and drives decisions. We also unpack why Overall Equipment Effectiveness (OEE) is such a powerful metric. It gives a full-picture view by balancing availability, performance, and quality—essential ingredients for any reliability programme. Measuring these before you start sets the stage to show true financial impact down the line. Here’s a stat worth paying attention to: about 80% of equipment failures are preventable. But prevention doesn’t start with gadgets—it starts with understanding. Too often, companies rush into solutions without first figuring out why their assets are failing in the first place. We share a real-life example of a site that almost spent a fortune on sensors that would’ve only covered 20% of their critical equipment. A solid assessment saved them from a costly misstep. The real game-changer? It’s not tech—it’s people. Awareness and training spark the kind of cultural shift that keeps reliability efforts alive and thriving. When everyone—from the shop floor to the boardroom—understands their role in keeping things running, that’s when real transformation happens. Whether you’re just getting started or trying to breathe new life into an existing programme, this episode lays out a roadmap to make reliability a true business driver—not just a technical checkbox. Tune in now and learn how to ignite your organisation’s reliability journey. Support the show
Unlocking Motor Reliability: Insights from Electrical Engineering Expert Mark Gurney
Send us Fan Mail What if the key to making electric motors more reliable isn’t a complex new technology but a better understanding of the fundamentals of electrical engineering? In this episode, we sit down with Mark Gurney, a reliability and electrical engineering expert, to hear his journey from troubleshooting issues at biogas plants to leading a full-scale reliability program at an Australian dairy company. Mark takes us behind the scenes of a commonly overlooked problem, electrical fluting in bearings. He breaks down why strong motor management and condition monitoring practices are essential for long-term reliability. We also dive into the broader impact of electric motors in industrial settings and the small yet powerful maintenance habits that make a difference, like using silica gel packs to keep humidity in check. Mark shares his insights on the importance of cleanliness, professionalism, and passing on knowledge to the next generation of engineers. You'll hear real-world lessons from his time on biogas sites, including how proper earthing and a structured troubleshooting approach can prevent serious issues like bearing currents. He also highlights the value of hands-on training programs that bridge the gap between theory and practice. As we wrap up, we touch on upcoming discussions around shaft current problems and thank Mark for sharing his knowledge. We can’t wait to have him back for more. Support the show
Revolutionizing Maintenance: The Future of Condition Monitoring and the Rise of the Hybrid Engineer
Send us Fan Mail Curious about where condition monitoring is headed and how it’s changing the way we approach maintenance? In this episode, we dive into the strategic decisions shaping our industry and explore how adapting to new technologies can elevate operations. Broadcasting from our brand-new podcast studio, we’ll talk about how spontaneous conversations often lead to our best ideas—and how systems like Acoem are driving efficiency in exciting ways. We’ll also discuss the increasing demand for asset reliability training and how it’s reshaping the way clients think about maintenance. How do you find the balance between spontaneity and strategy in content creation? We’ll share our approach to planning podcasts and videos to deliver high-quality content, including ideas for listener polls and covering multiple topics in a single episode. You’ll also hear about our new office in Wakefield, a key part of our UK expansion, and the importance of hands-on data collection in today’s world of AI and wireless sensors. Plus, we’ll give you a glimpse into how our video strategy is fueling growth and amplifying our message. This episode is packed with innovative ideas around condition monitoring and the rise of the “hybrid engineer.” We’ll talk about why engineers remain critical in this tech-driven revolution, highlighting the balance between cutting-edge systems and human expertise. Companies like Acoem are leading the way with solutions that improve plant reliability, while data analysis turns raw numbers into actionable steps to optimize operations. Join us as we explore the game-changing impact of embracing new technologies, with insights on accountability, reliability, and the exciting products and workflows that are redefining the future. Support the show
From Fields to Precision: Harry Crane’s Journey to Revolutionizing Maintenance Practices
Send us Fan Mail Step into a world where agriculture meets precision engineering with our special guest host, Harry Crane, affectionately known as "Mr. Solve." This episode promises to transform your understanding of maintenance practices as we uncover how Harry transitioned from the fields to become a pivotal part of our business’s Solve division. His role has been crucial in the establishment of our state-of-the-art repair center, a testament to his dedication and innovative spirit. You'll learn how early experiences with steam engines and a passion for mechanics laid the groundwork for a precision-driven approach to solving complex mechanical issues. Join us as we unravel the parallels between agricultural and industrial maintenance, highlighting the vital role of proactive strategies in minimizing downtime. Through an insightful case study on biogas motors and compressors, we demonstrate the advantages of conducting repairs in a fully equipped center versus on-site fixes. Harry shares his journey of mastering complex repairs after completing an EX course, emphasizing the foresight needed in selecting the right tools and resources. This episode underscores the importance of fostering a culture change—moving from reactive to proactive maintenance—and educating clients on the long-term benefits of reliability engineering. Concluding with a heartfelt appreciation for our listeners, we reflect on the challenges of implementing cultural shifts in maintenance practices. Harry's journey from agriculture to precision engineering showcases how the right tools and training can elevate work standards and engineer satisfaction. As we continue to champion reliability and precision, we express our excitement about launching a new podcast studio, promising to enhance content production and deliver even more insightful episodes. We thank you for your support and look forward to sharing more stories of innovation and dedication in our upcoming episodes. Support the show
Empowering Biogas Through Enhanced Technology
Send us Fan Mail What if cutting-edge maintenance technology could revolutionise the biogas industry? Discover the transformative impact of condition-based monitoring as we take you through our collaboration with Future Biogas. Our journey celebrates a surge in listener engagement and introduces exciting future plans, including our move to a new studio at Maintain HQ. This transition will enable us to create even more high-quality content, such as webinars and product demonstrations, while enhancing our focus on the unique challenges and opportunities presented by the biogas sector. As we explore the evolving landscape of biogas, tune in to learn about the advancements in maintenance technologies, like vibration analysis, infrared thermography and optical gas imaging, that are making significant strides. We highlight the game-changing Opgal EyeCgas camera and its role in providing affordable, comprehensive monitoring solutions. By advocating for more frequent inspections beyond the annual norm, we aim to enhance insurance and risk assessment processes, ensuring that biogas sites operate efficiently and reliably. Our discussion extends to the importance of integrating online monitoring systems, like the MVX, to mitigate risks associated with equipment. Experience the sustainable benefits of biogas production as we delve into the process from feedstock acquisition to renewable energy generation. With a focus on maintaining optimal conditions, our insights cover everything from vibration analysis to the critical role of CHP plants. The collaboration with Future Biogas empowers operators with a holistic maintenance package, supporting local communities and stabilising energy costs. Join us as we share the expertise required for handling ATEX motors, maintaining accurate audit trails, and ensuring seamless operations across multiple sites, emphasising how advanced technology and strategic planning are reshaping the biogas industry. Support the show
Revolutionizing Machine Diagnostics: Exploring AI Technology with Bertrand from Acoem
Send us Fan Mail Join us for an enlightening conversation with Bertrand from Acoem, who expains how the Falcon Vibration analyser uses Accurex technology. Imagine diagnosing machine defects without needing historical data—this is what Accurex achieves through its innovative use of AI and vibration measurements. Broadcasting straight from France, Bertrand offers an insider's look at how Accurex transforms vibration data collection, especially when historical data trends are unavailable, captivating us with its ability to identify a bearing defects and fault conditions from one reading with advanced diagnostics. We also explore the fusion of human expertise and AI in the realm of vibration diagnostics. With a robust database of over 50,000 expert-verified diagnostic advice from real use experts in the field this database has been fused into the falcon. We dive into the deployment of these powerful capabilities in Edge devices, ensuring machine diagnostics are both immediate and independent of cloud services. This segment also raises thought-provoking questions about the future of machine diagnostics and the dynamic interplay between advancing AI technologies and essential human insight. Our discussion takes an exciting turn as we examine the broader implications of Accurex technology. Envision a future where even non-experts can make informed maintenance decisions with confidence, particularly for simpler machinery like pumps and fans. While Accurex is already reshaping industrial maintenance, Bertrand shares insights into the challenges and future prospects of tackling more complex machines. We wrap things up by highlighting how Nest Vision aimed at simplifying access to critical industrial health data, and reflect on the invaluable role of user feedback in our ongoing quest for improvement. This episode is a must-listen for anyone interested in the future of AI-driven reliability management. Support the show
Producer's note
Steal the structure. Not the show.
Keep the useful structure, then change the audience, point of view, and voice until the idea is unmistakably yours.
