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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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Chaos and Caffeine Episode 51 250 Years Strong and Human Potential
In this 4th of July episode, we step away from the usual technical deep dive to reflect on the 250th anniversary of the United States through a personal lens. Howard shares perspectives shaped by growing up in Canada and the U.S., serving in the Navy, traveling internationally, working across industries, and watching how people, culture,…
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Chaos and Caffeine Episode 50 Human Reliability Intelligence Performance by Design
In this we discuss how to improve a mediocre coffee and then Jun and I discuss HRI Labs. The additional discussion relates to Human Reliability Intelligence, Human Performance, Industrial Engineering, and the relationships between all of them. This includes how cobotics impacts human fatigue and vice-versa. The present focus for HRI is coaching and personal…
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ReliaSquatch Cartoon with Jun Discussing Next Episode
As generated by ReliaSquatch and Jun AI personalities. ReliaSquatch Coffee is still in development.
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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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