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| Fault warning method of a hydropower unit based on IMSGP-WEDI |
| CAO Chaofan1，LI Mingliang2，JIANG Shuangyun1，ZHANG Guangtao3，LI Zhongliang1，LU Na1 |
| 1.School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China;
2.Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China;
3.Rundian Energy Science and Technology Co., Ltd., Zhengzhou 450052, China |
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Abstract The early warning of faults in hydropower units is greatly affected by the warning indicators. However, these indicators are mostly based on single sensor signal and information, and therefore limited in their abilities to comprehensively characterize the unit operating status. To address this issue, a method combining Integrated Multi-Sensor Genetic Programming (IMSGP) and Weighted Euclidean Distance Index (WEDI) is proposed. First, multiple sensor signals are preprocessed to eliminate interference. Next, multivariate features are extracted from the preprocessed signals to construct the original warning feature set. Then, the Composite Detection Index (CDI) is used for feature selection, and IMSGP is investigated for feature construction. Finally, Principal Component Analysis (PCA) and the Euclidean distance are used to construct WEDI for identifying abnormal states of the unit. Through analysis of hydropower unit data, the ability of the proposed method on detecting early faults and achieving effective fault warning were verified.
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Received: 12 July 2023
Published: 28 April 2024
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