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

Miao, Yonghao; Zhang, Boyao; Li, Chenhui; Lin, Jing; Zhang, Dayi

doi:10.1109/tie.2022.3156156

Public

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

Published in IEEE Transactions on Industrial Electronics • Mar 9, 2022

Authors:

Yonghao Miao

Boyao Zhang

Chenhui Li

Abstract

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...

Subject

Feature extraction

Initialization

Finite impulse response

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