On Reliability Radio, Hosts Jonathan Guiney and Brendon Russ interview JLL's Matt Vilardebo about his four-decade career in reliability. Hear his unique perspective on why organizations still resist proactive maintenance, the arrogance that leads to catastrophic failures, and the challenges of integrating predictive data into a formal work order system.
AI is mentioned 43 times on earnings calls, but is it the answer? Bill Kilby reveals that even with 5 billion sensor readings processed daily, Weight Sensor Technology insists on a human in the loop. Learn why analyst experience is irreplaceable, and how to harness AI without outsourcing your critical thinking.
With 100+ solutions available, price is obvious—but is it the right factor? This session guides you through the essential functionality, situations, and characteristics (from sensor axes to battery life and network security) you must consider to select the wireless vibration solution that best fits your needs.
Vibration analysis offers a 30:1 ROI, yet most companies are falling short. Based on the book Audit it. Improve it!, this presentation reveals the critical flaws causing up to 70% of monitoring programs to fail, and teaches you the strategic themes needed to correct your approach and achieve massive returns.
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Duty Standby is a low-tech rotation strategy that acts as an independent check on work processes. Join MEG Energy'sjourney to discover how this approach—from inception to cultural buy-in—uncovers misses in procedures, optimizes planning, and builds a culture of informed, low-risk decision-making.
In the Industry 4.0 era, minimizing downtime hinges on critical spares management. Learn how AI-driven solutionsprovide deep inventory insights, enabling companies to identify essential insurance spares and predict coverage gaps, redefining reliability and resilience.
Join this deep review of a Hydroelectric Dam's structural vibration challenges. Discover how specialized tools—including CFD, FEA, and motion amplification—were used to capture transient events, model effects on large structures, and implement permanent solutions to prevent damage to critical plant equipment.
Maximo® Predict is great, but here's the truth: standard wireless vibration fails to detect the #1 cause of machine failure. Robert Skeirik, a vibration expert with 13 patents, reveals why "overall" readings miss rolling element defects and how i-care uses a multi-parameter sensor to give you a true, actionable timeline.
AI often fails frontline workers—giving wrong or incomplete answers. This session reveals what has changed and how you can successfully infuse AI into daily maintenance and reliability flows to earn hours back, up-skill a new workforce, and reduce firefighting with reliable insights.
Ready to stop reacting to failures? Bailey Brandel explores the critical shift from traditional to predictive maintenance. Discover the pitfalls to avoid, learn best practices for collecting and analyzing historian data, and see how mobilizing work order management supports a proactive culture that ensures maximum equipment reliability.
AEDC operates 68+ unique test facilities, monitoring thousands of assets from 1 HP to 83k HP. Learn how their team integrates vibration, ultrasonic, and infrared analysis with AI/ML and wireless monitoring to provide a single, data-driven view of asset health.
Traditional vibration monitoring is falling short. This webinar reveals the pitfalls of past practices and how Honeywell’s AI-enabled APM solutions are transforming them. Learn best practices for leveraging AI/ML to monitor thousands of assets and drive outcome-based reliability.
Implementing condition monitoring across 20 plants is challenging. Learn from one of the largest global aluminum extrusion companies how they deployed a 5,000+ wireless sensor installation and CMMS integration as they progress down their 4.0 roadmap for asset management.
With an annual cost of $187k for time-based hawser replacement, Jizan terminal needed a new plan. This presentation demonstrates their successful shift to a condition-based reliability model, using residual strength testing and benchmarking. Learn how this new strategy revealed hawsers had 98% of their lifecycle remaining, leading to significant cost savings and reduced downtime.
NFPA 70B is no longer a recommendation—it's a mandatory standard. Adrian Messer discusses how this change impacts electrical maintenance and what it means for safety. Learn how ultrasound technology can help you comply by letting you "listen before you open," detecting critical faults like corona, tracking, and arcing at their earliest stage.
Digital transformation is driven by analytics. Join Seeq Corporation’s CEO, Dr. Lisa Graham, as she delves into innovative data analytics solutions for asset reliability. Learn how to unlock actionable insights from operational data, predict equipment failures, and optimize maintenance strategies to minimize downtime and maximize asset lifespan.
Are you basing your maintenance on a model that only applies to 10% of failures? This CEO reveals why the P-F Curve is "BS" and why continuous monitoring is the only way to predict random asset failures. Learn what his data from 545,000 assets reveals.
Discover how to achieve continuous optimization with the Maximo Application Suite's "closed loop" process. This session walks you through the seamless integration of Manage, Monitor, Health, and Predict to turn data into action and drive real-time value.
Is traditional predictive maintenance failing you? IBM's Tom Woginrich reveals how "multivariate analytics" uses surprising data points—like humidity or even a window shade—to predict failures with high confidence and save millions.
Ready to get serious about predictive maintenance? This hands-on lab guides you through using Maximo Health and Predict to improve asset performance and reduce downtime. Learn to identify, investigate, and act on asset insights—no theory, just practical skills you can use immediately.