Identification of Hydropower Unit Shafting Fault Based on Multifractal Spectrum and Support Vector Machine

doi:10.3969/j.issn.1008-0198.2022.05.020

Hunan Electric Power ›› 2022, Vol. 42 ›› Issue (5): 114-118.doi: 10.3969/j.issn.1008-0198.2022.05.020

• Faults and Analysis • Previous Articles Next Articles

Identification of Hydropower Unit Shafting Fault Based on Multifractal Spectrum and Support Vector Machine

MENG Fancong¹ , JI Junjie¹, XUE Xiaobing¹, YAO Hangyu¹, HU Fei², PAN Weifeng², BAI Liang³

1. East China Yixing Pumped Storage Power Co. Ltd.,Yixing 214205,China;
2. NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211000, China;
3. Xi′an University of Technology, Xi′an 710048,China

Received:2022-08-05 Online:2022-10-25 Published:2022-11-16

Abstract

Abstract: A method based on multifractal spectrum and support vector machine is proposed for fault identification of shafting system of hydropower units. Firstly, the multifractal spectrum algorithm is used to extract the feature data of vibration signals, and then the feature data is used as the input vector of support vector machine to realize the fault classification. The experimental data show that the method can accurately identify the common shafting faults, and provide a new method for the intelligent identification of shafting faults of hydropower units.

Key words: hydropower unit, multifractal, support vector machine, fault identification

CLC Number:

TV738

MENG Fancong , JI Junjie, XUE Xiaobing, YAO Hangyu, HU Fei, PAN Weifeng, BAI Liang. Identification of Hydropower Unit Shafting Fault Based on Multifractal Spectrum and Support Vector Machine[J]. Hunan Electric Power, 2022, 42(5): 114-118.

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Identification of Hydropower Unit Shafting Fault Based on Multifractal Spectrum and Support Vector Machine

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