February 2024

Featured Article

Noria Media

From advanced sensors to IoT-integrated systems, lubricant analysis software to nano-additives, new and innovative RCA and FA technologies collectively contribute to a more proactive and efficient approach to maintenance. As companies across the world continue to invest in these cutting-edge solutions, the future of lubrication practices continues to evolve and adapt to the changing times.

Roy Giorgio, AssetWatch; Jaidev Krishnan, AssetWatch

Using both vibration analysis and oil analysis provides a much better predictive maintenance (PdM) solution compared to relying solely on vibration or oil analysis alone. By incorporating both methods, lubrication issues can be detected and addressed long, maybe years, before they escalate into more severe problems detectable by vibration.

Wes Cash, Noria Corporation

A single failure may have multiple reasons that caused it to get to a catastrophic case. For instance, the bearing wasn’t lubricated properly because the scheduled PM frequency was too long. It's easy to just chalk this up to a lubrication issue and not look at the other aspects of what all was occurring. Some failures require more significant analysis.

Noria Media

In this episode of Gear Talk, Wes sits down with Jeff Walkup, FluidLife's vice president of sales and marketing, to discuss leadership lessons in lubrication. As an industry veteran, Jeff is passionate about the impact of leadership on maintenance and reliability teams and how it drives innovation and excellence in facilities.

Ricky Smith, World Class Maintenance

Key Performance Indicators (KPIs), when identified and aligned properly especially in the lubrication industry, can save your plant, job, and career. With all KPIs, by definition, we're measuring past performance to get ahead of potential problems that may occur in the future. We can do this by utilizing Leading and Lagging Indicators, two KPIs that could prevent disaster before it strikes.

Ray Garvey, Emerson Process Management; Dan Walsh, Ametek Spectro Scientific; Jessica Feuer, Ametek Spectro Scientific

This article reports diesel engine oil analysis data, demonstrating the use of filtergram x-ray fluorescence to quantify severity of wear and contamination. Two independent measurements were performed on each filtergram specimen: pore blockage particle count and x-ray fluorescence (XRF) large-particle elemental analysis. Filtergram specimens may be retained for retest, reference, and RCFA.

John Ross, Maintenance Innovators

This is the singular hardest part about FMEA, RCM, and PMO ... determining the Failure Mode. What on earth is a failure mode? Watch this short from industry expert Dr. John Ross to learn more.

Noria Media

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