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Linking Enhanced Reliability to the State of Lubrication
The lubricant Optimum Reference State (ORS) is a critical concept in the journey to world-class lubrication and enhanced machine reliability. In short, it is the prescribed state of machine configuration, operating conditions and maintenance activities required to achieve and sustain specific reliability objectives. Read More
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Tricks to Classifying Wear Metals and Other Used Oil Suspensions
The most common methods for initial detection of abnormal levels of wear debris in used oils include elemental analysis, ferrous density analysis (DR, etc.), particle counting and patch testing. For some users, because of the criticality of the application, all of these screening tests for wear metals are integrated into the routine test slate. Read More
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Best Practices in Maximizing Fault Detection in Rotating Equipment Using Wear Debris Analysis
The analysis of power train lubricants for the purpose of detecting faults and abnormal wear patterns is a well developed practiced in mobile equipment applications. Read More
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Don’t Ignore Viscosity Index When Selecting a Lubricant
Too often the viscosity index (VI) is disregarded as a lubricant selection parameter. One reason is simply because it is poorly understood. Read More
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Maximizing Fault Detection in Rotating Equipment Using Wear Debris Analysis
The analysis of power train lubricants for the purpose of detecting faults and abnormal wear patterns is a well developed practice in mobile equipment applications. However, these same techniques don’t always transfer successfully into stationary equipment applications for many users. Read More
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The Benefits of Using Wear Debris Analysis in Industrial Machinery
The analysis of powertrain lubricants for the purpose of detecting faults and abnormal wear patterns is a useful practice in mobile equipment applications. Unfortunately for many users, these techniques don’t always transfer successfully into stationary equipment applications. In recent years, new approaches and techniques have been advanced to improve the detection of incipient and developing… Read More