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|Title:||Mechanical wear debris feature, detection, and diagnosis: A review||Authors:||Hong, Wei
Tomovic, Mileta M.
|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
|ISSN:||1000-9361||DOI:||http://dx.doi.org/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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