On-Line Wear Debris Detection in Lubricating Oil for Condition Based Health Monitoring of Rotary Machinery
Li Du and Jiang Zhe
Affiliation: Department of Mechanical Engineering, University of Akron 302 Buchtel Common, Akron, Ohio 44325-3903, Akron, USA.
Keywords: Debris, condition monitoring, on-line detection, particle sensor, condition-based maintenance
Condition based monitoring has become essential in maintaining and extending the health of high-speed rotating and reciprocating machinery. One effective approach to detect signs of potential failure of a rotating or reciprocating machine is to examine the wear debris in its lubricating oil. Recent patents and research articles on on-line wear debris detection in lubricating oil are reviewed in this paper, including electrical impedance detection, acoustic detection, optical detection, pressure detection, online x-ray spectrography, resonant frequency detection, and electrostatic charge detection. Advantages and limitations of each detection method are discussed.
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