Wavelet-based multifractal analysis of large scale wind turbine main bearing-Reference-Cited by-同舟云学术

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Wavelet-based multifractal analysis of large scale wind turbine main bearing

Published:2013-01 Issue:1 Volume:5 Page:013102
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Chen Changzheng,Sun Xianming,Gu Quan,Zhou Bo,Gu Yanling

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4773826

Reference26 articles.

1. Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050

2. Influence of wind power, plug-in electric vehicles, and heat storages on power system investments

3. Status and problems of wind turbine structural health monitoring techniques in China

4. The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis

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1. Internal load distribution of single-row tapered roller bearings doubly supporting main shaft of wind turbine;Advances in Mechanical Engineering;2022-05

2. Deep domain adversarial residual neural network for sustainable wind turbine cyber‐physical system fault diagnosis;Software: Practice and Experience;2021-03-04

3. Research on Wind Turbines Fault Diagnosis Technology Based on CMS Data Feature Extraction;Wireless Personal Communications;2021-02-22

4. A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings;Measurement;2020-01

5. Finite-time disturbance observer via continuous fractional sliding modes;Transactions of the Institute of Measurement and Control;2017-11-08

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