Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique

Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique

Compound defects commonly occur on rotating machinery under fatigue and heavy loads, and their fault signatures are coupled and easily buried in strong unwanted vibrations and background noise. The isolation and identification of the compound fault signatures are still a challenge especially when th...

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Bibliographic Details
Main Authors: Chunlin Zhang, Yuling Liu, Fangyi Wan, Binqiang Chen, Jie Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Adaptive deep filtering
compound faults isolation
empirical wavelet transform
fault diagnosis
windowed correlated kurtosis
Online Access:https://ieeexplore.ieee.org/document/8743411/

Internet

https://ieeexplore.ieee.org/document/8743411/

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