Increasing predictive program effectiveness by integrating thermography and lubricant analysis

Jeffrey P. Evans; Thomas J. Jarc; Richard Norman Wurzbach

doi:10.1117/12.204843

28 March 1995 Increasing predictive program effectiveness by integrating thermography and lubricant analysis

Jeffrey P. Evans, Thomas J. Jarc, Richard Norman Wurzbach

Proceedings Volume 2473, Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications; (1995) https://doi.org/10.1117/12.204843
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

As today's marketplace becomes more competitive, companies are continually searching for more efficient ways to maintain plant equipment. As a result, predictive maintenance (PDM) techniques are frequently utilized to help reduce maintenance costs and increase equipment reliability. Two PDM technologies that have enjoyed widespread success in many different industries are lubricant analysis and infrared thermography. Lubricant analysis is a very effective technique in the identification of both machine and lubricant deficiencies. Problems such as bearing wear, gear wear, lubricant contamination and degradation are identified utilizing technologies like ferrography and physical properties testing. Infrared thermography has likewise enjoyed much success in various electrical, mechanical, and process applications. High resistance electrical connections, excessive friction, insulation degradation, and roofing deterioration are just a few of the more common problems detectable utilizing infrared thermography. Although each PDM technology has its own distinct area of specialization, the greatest benefits come from the integration of each technology into a comprehensive PDM program. This paper focuses on the interrelationship between lubricant analysis and infrared thermography and successful applications where these two PDM technologies have been used together to identify and solve equipment specific problems.

Citation Download Citation

Jeffrey P. Evans, Thomas J. Jarc, and Richard Norman Wurzbach "Increasing predictive program effectiveness by integrating thermography and lubricant analysis", Proc. SPIE 2473, Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications, (28 March 1995); https://doi.org/10.1117/12.204843

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