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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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Guardado en:
Autores principales: Ao Ding, Guiji Tang, Xiaolong Wang, Yuling He, Shiyan Fan
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2022-08-01
Colección:Machines
Materias:
fault diagnosis
parameter estimation
iterative modified adaptive chirp mode decomposition (IMACMD)
envelope interpolation
ensemble <i>L</i>-Kurtosis
Acceso en línea:https://www.mdpi.com/2075-1702/10/8/704
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