A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox-Reference-Cited by-同舟云学术

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A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox

Published:2021-06 Issue: Volume:170 Page:141-162
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Ma Zhipeng,Zhao Ming,Li Bowen,Fan Hongwei

Funder

Natural Science Foundation of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference36 articles.

1. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: a review;Wang;Mech. Syst. Signal Process.,2019

2. IEA Wind Technology Collaboration;Report,2017

3. fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD;Yang;IEEE Transactions on Industrial Informatics,2017

4. Condition monitoring of wind turbines: techniques and methods;García Márquez;Renew. Energy,2012

5. Weak fault diagnosis of wind turbine gearboxes based on MED-LMD;Wang;Entropy,2017

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1. Strain Signal-Based Fault Diagnosis Method for the Planet Gear in Planetary Gearboxes;2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA);2024-06-14

2. Fault Diagnosis of Vehicle Gearboxes Based on Adaptive Wavelet Threshold and LT-PCA-NGO-SVM;Applied Sciences;2024-01-31

3. A periodic anomaly detection framework based on matrix profile for condition monitoring of planetary gearboxes;Measurement;2023-08

4. An integrated monitoring scheme for wind turbine main bearing using acoustic emission;Signal Processing;2023-04

5. An enhanced minimum entropy deconvolution with adaptive filter parameters for gear fault diagnosis;Measurement;2023-01

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