期刊
TRIBOLOGY INTERNATIONAL
卷 109, 期 -, 页码 473-484出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.triboint.2017.01.015
关键词
Oil condition monitoring; Wear debris; Lubricant properties; Online sensor
资金
- National Science Foundation [CMMI-0968736, ECCS-1625544]
Analysis of lubricating oil is an effective approach in judging machine's health condition and providing early warning of machine's failure progression. Many studies from both academia and industry have been conducted. This paper presents a comprehensive review of the state-of-the-art online sensors for measuring lubricant properties (e.g. wear debris, water, viscosity, aeration, soot, corrosion, and sulfur content). These online sensors include single oil property sensors based on capacitive, inductive, acoustic, and optical sensing and integrated sensors for measuring multiple oil properties. Advantages and disadvantages of each sensing method, as well as the challenges for future developments, are discussed. Research priorities are defined to address the industry needs of machine health monitoring.
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