Compound faults diagnosis method for wind turbine mainshaft bearing with Teager and second-order stochastic resonance-Reference-Cited by-同舟云学术

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Compound faults diagnosis method for wind turbine mainshaft bearing with Teager and second-order stochastic resonance

Published:2022-10 Issue: Volume:202 Page:111931
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Han Tian,Ding Lingjie,Qi Dandan,Li Chao,Fu Zhi,Chen Weidong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference26 articles.

1. Research on a rolling bearing health monitoring algorithm oriented to industrial big data;Zhu;Meas.,2021

2. A linear mapping method for predicting accurately the RUL of rolling bearing;Wang;Meas.,2021

3. Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method;Liu;Renew. Energy,2020

4. A new feature extraction method based on EEMD and multi-scale fuzzy entropy for motor bearing;Zhao;Entropy,2017

5. An Adaptive Optimized TVF-EMD Based on a Sparsity-Impact Measure Index for Bearing Incipient Fault Diagnosis;Ye;IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021

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