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

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...

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Bibliographic Details
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
ISSN:	0278-0046, 1557-9948
Online Access:	Get full text
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