Edition Archive
Nov - Dec 2024
The Role of Lubrication in Root Cause and Failure Analysis
It’s a scenario most people are all too familiar with. Despite our best efforts, a component failed in the plant and brought production to a stand-still. These failures are the ban
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A Sobering Reality: How Ignoring Oil and Vibration Analyses Impact your Bottom Line
Integrating vibration and oil analysis in industrial plants plays a significant role in predicting and preventing equipment failures. While vibration analysis is commonly used, thi
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A Glimpse of What’s New in Today’s Condition-Monitoring and Lubrication IoT Technology
IoT (Internet of Things) technology has significantly transformed various industries, and the oil and lubrication condition-monitoring sector is no exception. The integration of Io
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Stop Storing Oil Drums Unprotected! It Could Cost You in the Long Run.
The significance of properly storing oil drums cannot be overstated when it comes to lubrication and long-term machine reliability. The correlation between unprotected oil drum sto
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Utilizing an Oil Condition-Monitoring Program (OCM) to Extend the Life of a Wind Turbine
Wind-energy asset owners are confronted with critical business decisions as their wind farms approach the end of their operational lives. This forces these decisions to be made aro
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Lubrication Excellence & Contamination Control Demands a Clean Workshop
Introduction In various industry sectors, individuals draw upon their collective work experiences to shape work processes and procedures. Over time, some practices become obsolete,
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Understanding Maintenance and Reliability Key Performance Indicators
Using KPIs to Analyze Failures in Your Lubrication Program Key Performance Indicators (KPIs), when identified and aligned properly especially in the lubrication industry, can save
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How to Quantify Severity of Wear and Contamination with a Filtergram
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 measure
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