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Vibration Trend Prediction of Hydropower Units Based on OVMD-TVFEMD Secondary Decomposition and HPO-ELM
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Nan ZHANG1a, Yong-qi ZHU1a, Na SUN1b, Xin-jie LAI2, Chao-shun LI3
Water Resources and Power | 2023, 41(10) : 204 - 207
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Water Resources and Power | 2023, 41(10): 204-207
• ELECTROMECHANICS AND CONTROL ENGINEERING •
Vibration Trend Prediction of Hydropower Units Based on OVMD-TVFEMD Secondary Decomposition and HPO-ELM
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Nan ZHANG1a, Yong-qi ZHU1a, Na SUN1b, Xin-jie LAI2, Chao-shun LI3
Affiliations
  • 1a.Jiangsu Key Laboratory of Advanced Manufacturing Technology, Huaiyin Institute of Technology, Huaian 223299, China
  • 1b.Faculty of Automation, Huaiyin Institute of Technology, Huaian 223299, China
  • 2.Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
  • 3.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20222110
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In order to address the limitations of the existing vibration trend prediction model for hydroelectric units, a vibration trend prediction method for hydroelectric units based on optimal variational mode decomposition (OVMD), time-varying filter empirical mode decomposition (TVFEMD), hunter-prey optimization algorithm (HPO), and extreme learning machine (ELM) is proposed. This method first applies OVMD to adaptively decompose the original vibration signal of the hydroelectric unit, and then further employs TVFEMD to perform a secondary decomposition of the residuals obtained from the first decomposition. Subsequently, vibration trend prediction models HPO-ELM are established for each subsequence. The final predicted vibration signal is obtained by aggregating and reconstructing the prediction results of all the sub-sequences. The research results demonstrate that this method outperforms traditional methods in terms of prediction accuracy for the vibration trend of hydroelectric units, and it has good engineering application value.

vibration trend prediction of hydropower unit  /  OVMD  /  secondary decomposition  /  ELM  /  optimization algorithm
Nan ZHANG, Yong-qi ZHU, Na SUN, Xin-jie LAI, Chao-shun LI. Vibration Trend Prediction of Hydropower Units Based on OVMD-TVFEMD Secondary Decomposition and HPO-ELM[J]. Water Resources and Power, 2023 , 41 (10) : 204 -207 . DOI: 10.20040/j.cnki.1000-7709.2023.20222110
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222110
  • Receive Date：2022-10-12
  • Online Date：2026-01-28
  • Published：2023-10-25
Article Data
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History
  • Received：2022-10-12
  • Revised：2023-01-24
Funding
Affiliations
    1a.Jiangsu Key Laboratory of Advanced Manufacturing Technology, Huaiyin Institute of Technology, Huaian 223299, China
    1b.Faculty of Automation, Huaiyin Institute of Technology, Huaian 223299, China
    2.Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
    3.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20222110
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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