A novel random spectral similar component decomposition method and its application to gear fault diagnosis

• Published in: Mechanical systems and signal processing Vol. 208; p. 111032
• Main Authors: Liu, Feng, Cheng, Junsheng, Hu, Niaoqing, Cheng, Zhe, Yang, Yu
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.02.2024
• Subjects: Fault significance measure; Gear fault diagnosis; Random spectral similar component decomposition; Spectral similarity criterion; Random spectral similar component decomposition; Gear fault diagnosis; Fault significance measure; Spectral similarity criterion

•A new signal processing method called RSSCD is proposed, and it is applied to gear fault diagnosis.•The ideas of randomization and sparsification of time–frequency features are utilized to represent the input signal.•The spectral similarity criterion is defined to adaptively recombine the initial s...