Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis

• Published in: IEEE transactions on industrial electronics (1982) Vol. 70; no. 2; pp. 1949 - 1960
• Main Authors: Miao, Yonghao, Zhang, Boyao, Li, Chenhui, Lin, Jing, Zhang, Dayi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive filter; correlated Kurtosis (CK); Decomposition; Deconvolution; Fault diagnosis; Feature extraction; feature mode decomposition (FMD); Filter banks; Filtering theory; Finite impulse response filters; FIR filters; Impulse response; Kurtosis; Machinery; machinery fault diagnosis; Modal choice; Periodic variations; Rotating machinery; Wiener filters

In this article, a new decomposition theory, feature mode decomposition (FMD), is tailored for the feature extraction of machinery fault. The proposed FMD is essentially for the purpose of decomposing the different modes by the designed adaptive finite-impulse response (FIR) filters. Benefitting fro...