Mechanical wear debris feature,detection, and diagnosis: A review |
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| Authors: | Wei HONG Wenjian CAI Shaoping WANG Mileta M TOMOVIC |
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| Institution: | 1. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore;2. School of Automation Science and Electric Engineering, Beihang University, Beijing 100083, China;3. Science and Technology on Aircraft Control Laboratory, Beijing 100083, China;4. Mechanical and Aerospace Engineering Department, Old Dominion University, VA 23529, USA |
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| Abstract: | 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. |
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| Keywords: | Debris detection Debris feature Fault diagnosis Mechanical wear debris Wear mechanism |
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