Weak Fault Feature Extraction and Enhancement of Wind Turbine Bearing Based on OCYCBD and SVDD

Weak Fault Feature Extraction and Enhancement of Wind Turbine Bearing Based on OCYCBD and SVDD

The fault feature of wind turbine bearing is usually very weak in the early injury stage, in order to accurately identify the defect location, an original approach based on optimized cyclostationary blind deconvolution (OCYCBD) and singular value decomposition denoising (SVDD) is put forward to extr...

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Bibliographic Details
Main Authors: Xiaolong Wang, Xiaoli Yan, Yuling He
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
optimized cyclostationary blind deconvolution
frequency weighted energy entropy
singular value decomposition denoising
wind turbine bearing
weak feature enhancement
Online Access:https://www.mdpi.com/2076-3417/9/18/3706

Internet

https://www.mdpi.com/2076-3417/9/18/3706

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