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Proceedings Paper

Fluorescence excitation-emission matrix spectroscopy for degradation monitoring of machinery lubricants
Author(s): Oleg Sosnovski; Pooja Suresh; Alexander E. Dudelzak; Benjamin Green
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Paper Abstract

Lubrication oil is a vital component of heavy rotating machinery defining the machine's health, operational safety and effectiveness. Recently, the focus has been on developing sensors that provide real-time/online monitoring of oil condition/lubricity. Industrial practices and standards for assessing oil condition involve various analytical methods. Most these techniques are unsuitable for online applications. The paper presents the results of studying degradation of antioxidant additives in machinery lubricants using Fluorescence Excitation-Emission Matrix (EEM) Spectroscopy and Machine Learning techniques. EEM Spectroscopy is capable of rapid and even standoff sensing; it is potentially applicable to real-time online monitoring.

Paper Details

Date Published: 22 February 2018
PDF: 9 pages
Proc. SPIE 10539, Photonic Instrumentation Engineering V, 105390O (22 February 2018); doi: 10.1117/12.2290637
Show Author Affiliations
Oleg Sosnovski, GasTOPS Ltd. (Canada)
Carleton Univ. (Canada)
Pooja Suresh, GasTOPS Ltd. (Canada)
Alexander E. Dudelzak, GasTOPS Ltd. (Canada)
Benjamin Green, GasTOPS Ltd. (Canada)
Carleton Univ. (Canada)


Published in SPIE Proceedings Vol. 10539:
Photonic Instrumentation Engineering V
Yakov G. Soskind, Editor(s)

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