Mechanical wear debris feature, detection, and diagnosis: A review

被引:135
|
作者
Hong, Wei [1 ]
Cai, Wenjian [1 ]
Wang, Shaoping [2 ,3 ]
Tomovic, Mileta M. [4 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
[3] Sci & Technol Aircraft Control Lab, Beijing 100083, Peoples R China
[4] Old Dominion Univ, Mech & Aerosp Engn Dept, Norfolk, VA 23529 USA
基金
中国国家自然科学基金;
关键词
Debris detection; Debris feature; Fault diagnosis; Mechanical wear debris; Wear mechanism; SCALE-INVARIANT ANALYSIS; COMPUTER IMAGE-ANALYSIS; OIL DEBRIS; PARTICLES; MORPHOLOGY; CONTACT; METALS; CLASSIFICATION; PROPAGATION; INITIATION;
D O I
10.1016/j.cja.2017.11.016
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Mechanical debris is an important product of friction wear, which is also a crucial approach to know the running status of a machine. Many studies have been conducted on mechanical debris in related fields such as tribology, instrument, and diagnosis. This paper presents a comprehensive review of these studies, which summarizes wear mechanisms (e.g., abrasive wear, fatigue wear, and adhesive wear) and debris features (e.g., concentration (number), size, morphology, and composition), analyzes detection methods principles (e.g., offline: spectrograph and ferrograph, and online: optical method, inductive method, resistive-capacitive method, and acoustic method), reviews developments of online inductive methods, and investigates the progress of debris-based diagnosis. Finally, several notable problems are discussed for further studies. (C) 2017 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd.
引用
收藏
页码:867 / 882
页数:16
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