Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89145
Title: Mechanical wear debris feature, detection, and diagnosis: A review
Authors: Hong, Wei
Cai, Wenjian
Wang, Shaoping
Tomovic, Mileta M.
Keywords: Debris Detection
Debris Feature
Issue Date: 2017
Source: Hong, W., Cai, W., Wang, S., & Tomovic, M. M. (2018). Mechanical wear debris feature, detection, and diagnosis: A review. Chinese Journal of Aeronautics, 31(5), 867-882.
Series/Report no.: Chinese Journal of Aeronautics
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.
URI: https://hdl.handle.net/10356/89145
http://hdl.handle.net/10220/44816
ISSN: 1000-9361
DOI: 10.1016/j.cja.2017.11.016
Rights: © 2017 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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