FAULT DIAGNOSIS OF WIND POWER GEARBOX BASED ON SHSVD-AS

Ling Feng; Yang Hongqiang; Deng Aidong; Wang Pengcheng; Dong Lunan; Bian Wenbin

doi:10.19912/j.0254-0096.tynxb.2022-0253

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (6) : 477-483. DOI: 10.19912/j.0254-0096.tynxb.2022-0253

FAULT DIAGNOSIS OF WIND POWER GEARBOX BASED ON SHSVD-AS

Ling Feng¹, Yang Hongqiang², Deng Aidong¹, Wang Pengcheng¹, Dong Lunan¹, Bian Wenbin¹

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Abstract

Aiming at the problems of traditional hard threshold singular value decomposition（HSVD） noise reduction have strong subjectivity, weak adaptability and easy to lose signal characteristics, this paper firstly proposes an adaptive hard threshold selection algorithm. Then, a soft-hard threshold singular value decomposition（SHSVD） denoising method is formed by combining an unequal optimal weight shrinkage of soft threshold singular value decomposition （SSVD） denoising method with HSVD. Finally, this paper creates an amplitude suppression（AS） algorithm to highlight the impact characteristics of fault signal denoised by SHSVD, which is SHSVD-AS. This method is used to analyze the gearbox fault signal of wind power transmission system. The test results of simulation and measured signals both indicate that SHSVD-AS has better performance in wind power gear fault diagnosis than traditional HSVD and VMD-HSVD methods under a strong noise enviroment.

Key words

wind turbines / fault diagnosis / singular value decomposition / gearbox / hard threshold / soft threshold / amplitude suppression

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Ling Feng, Yang Hongqiang, Deng Aidong, Wang Pengcheng, Dong Lunan, Bian Wenbin. FAULT DIAGNOSIS OF WIND POWER GEARBOX BASED ON SHSVD-AS[J]. Acta Energiae Solaris Sinica. 2023, 44(6): 477-483 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0253

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