Low-Pass Filtering Empirical Wavelet Transform Machine Learning Based Fault Diagnosis for Combined Fault of Wind Turbines

Low-Pass Filtering Empirical Wavelet Transform Machine Learning Based Fault Diagnosis for Combined Fault of Wind Turbines

Fault diagnosis of wind turbines is of great importance to reduce operating and maintenance costs of wind farms. At present, most wind turbine fault diagnosis methods are focused on single faults, and the methods for combined faults usually depend on inefficient manual analysis. Filling the gap, thi...

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Bibliographic Details
Main Authors: Yancai Xiao, Jinyu Xue, Mengdi Li, Wei Yang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Entropy
Subjects:
combined fault diagnosis
empirical wavelet transform
grey wolf optimizer
low pass FIR filter
support vector machine
Online Access:https://www.mdpi.com/1099-4300/23/8/975

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https://www.mdpi.com/1099-4300/23/8/975

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