Author: HPENROSE
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Old Machines New Possibilities and Human in the Loop Chaos and Caffeine Ep 62
What can technology from 100 years ago teach us about the systems we are building today? In Episode 62, Reliasquatch sits down with Silus Barnaby to compare the simple, rugged and repairable machines of the past with today’s increasingly intelligent—and increasingly complex—technology. We get into equipment like the nearly century-old machinery at Buckingham Fountain, unintended…
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AI, Chaos and Caffeine Podcast, Data Science, ESA, MCSA, ML, Reliasquatch, Remaining Useful Life, Time to Failure EstimationAI in Reliability: Hype, Reality, and What to Ask Before You Buy Chaos and Caffeine Ep 61
AI says it’s 92% confident. But 92% of what? In Episode 61 of Chaos & Caffeine, we strip away the marketing language around artificial intelligence and machine learning in reliability and maintenance. We start with something many people may not realize: AI is broader than machine learning. Rule-based systems, expert systems, machine learning, and hybrid…
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AI, Article, Chaos and Caffeine Podcast, Data Science, Electric Machine, Human Reliability IntelligenceAI Found an Anomaly Now What Chaos and Caffeine Episode 60
AI found an anomaly. Now what? In Episode 60 of Chaos & Caffeine, we look at one of the biggest gaps in AI-driven reliability and maintenance: detecting something unusual is not the same as knowing what failed, why it failed, how serious it is, or what maintenance should do next. We dig into false positives,…
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Stop Marching in Place Chaos and Caffeine Podcast 59
What if decades of advances in reliability and maintenance have made us ‘better at repeating some of the same mistakes faster?’ In Episode 59 of Chaos & Caffeine, we challenge the R&M playbook and ask some uncomfortable questions about reactive hero culture, condition-based reactive maintenance, technology bias, recycled programs, questionable KPIs, and why organizations keep…
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You’re Doing it Wrong. Probably.
By Howard W. Penrose, Ph.D., CMRPMotor Diagnostics and Motor Health Newsletter Apparently, I have spent a good portion of the past several months telling people, “You’re doing it wrong.” Between the recent LinkedIn articles, reliability discussions, and Chaos and Caffeine podcasts, a pattern has emerged. We have more sensors, software, dashboards, artificial intelligence, machine learning,…
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Chaos and Caffeine Podcast 58 VFDs and Reliability
Three PhDs walk into a podcast, which sounds like the beginning of a bad joke, but somehow turns into a very practical conversation about VFDs, motors, and reliability. In Episode 58 of Chaos and Caffeine, Howard Penrose, Carl Tolbert, and James Neil combine a frankly unreasonable number of academic credentials with decades of field experience…
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Chaos and Caffeine, Episode 55: From Industry 1.0 to Maintenance 5.0
In Episode 55 of Chaos and Caffeine, ReliaSquatch joins me to explore Industry 1.0 through 5.0 and the parallel evolution of maintenance from reactive repair to human-centered, data-supported reliability. We discuss why sensors, CMMS platforms, IoT, and AI do not create improvement by themselves, especially when organizations continue automating the same assumptions and waiting until…
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Chaos and Caffeine Ep. 54: ESA/MCSA Bias Blind Spots and the Rest of the CBM Story
Episode 54 of Chaos and Caffeine takes on the long-standing bias surrounding electrical and current signature analysis in condition-based maintenance. ReliaSquatch and Silas Barnaby discuss why ESA and MCSA are still too often viewed primarily as broken rotor bar tools, despite their ability to identify electrical, mechanical and process-related conditions throughout an entire machine system.…
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Chaos and Caffeine Podcast Ep 53 The Biggest Lie In Reliability and Maintenance
Has reliability really advanced over the past 40 years, or have we simply found faster ways to repeat the same mistakes? In this episode, Reliasquatch is joined by Jun and Silas Barnaby for a lively, often chaotic discussion about why technology alone cannot solve reliability and maintenance challenges. From RCM and predictive maintenance to AI,…
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AI, Chaos and Caffeine Podcast, Data Science, ESA, MCSA, ML, Time to Failure Estimation, UncategorizedChaos and Caffeine Episode 52 Your System Your Data Your Risk
In Chaos and Caffeine Episode 52, ReliaSquatch is joined by red-team ethical hacker Silus Barnaby to examine the hidden risks of continuous condition monitoring. From poorly placed wireless vibration sensors and missed machine faults to exposed operational data, cloud security, AI-only analysis, and cybersecurity vulnerabilities, this episode explores how monitoring systems can fail when installation,…
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About the Author
Reliasquatch.com is an article, news and podcast site with the goal of providing information for the reliability, maintenance, and related industries. Focus is on commercial, industrial, utility, military, manufacturing and related. You will find a focus on CBM-related tech. The site is fully supported by motordoc.com with advertising available.
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