An Iterative Modified Adaptive Chirp Mode Decomposition Method and Its Application on Fault Diagnosis of Wind Turbine Bearings

An Iterative Modified Adaptive Chirp Mode Decomposition Method and Its Application on Fault Diagnosis of Wind Turbine Bearings

Wind turbine bearings usually work with strong background noise, making the faulty properties difficult to extract and detect. To accurately diagnose the faults of rolling bearings in wind turbines, an iterative modified adaptive chirp mode decomposition (IMACMD) method is proposed in this paper. Fi...

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Bibliographic Details
Main Authors: Ao Ding, Guiji Tang, Xiaolong Wang, Yuling He, Shiyan Fan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Machines
Subjects:
fault diagnosis
parameter estimation
iterative modified adaptive chirp mode decomposition (IMACMD)
envelope interpolation
ensemble <i>L</i>-Kurtosis
Online Access:https://www.mdpi.com/2075-1702/10/8/704

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