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

• Main Authors: Hong, Wei, Cai, Wenjian, Wang, Shaoping, Tomovic, Mileta M.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Debris Detection; Debris Feature
• Online Access: https://hdl.handle.net/10356/89145; http://hdl.handle.net/10220/44816
• Institution: Nanyang Technological University

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.