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4 March 2024 Operation monitoring and decision-making assistance for flexible DC converter valve based on improved LightGBM
Heng Tian, Zhengqing Xu, Li Liu, Yirun Ji, Chaoyang Liu, Qun Ma, Yihang Ge
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Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129813D (2024) https://doi.org/10.1117/12.3014752
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
Aiming at the problem that the fault diagnosis accuracy of flexible DC converter valve is not high, a fault diagnosis method of Flexible DC converter valve of PCA-LSSA-LightGBM is proposed. Using the fault feature library collected by the simulation system, the normalization and standardization processing are carried out first, and then the key fault features are extracted through principal component analysis to reduce the complexity of fault diagnosis. Combined with the operation mode of flexible DC converter valve, a lightweight gradient elevator model is established, and optimizing the parameters of the light gradient boosting machine are found by introducing Singer mapping and the sparrow search algorithm optimized by Levy flight strategy. Experiments show that the comprehensive accuracy rate of PCA-LSSALightGBM model diagnosis results is 96.09%, which is higher than that of other fault diagnosis methods, which verifies the correctness and effectiveness of the fault diagnosis of flexible DC converter valve applied in this method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Heng Tian, Zhengqing Xu, Li Liu, Yirun Ji, Chaoyang Liu, Qun Ma, and Yihang Ge "Operation monitoring and decision-making assistance for flexible DC converter valve based on improved LightGBM", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129813D (4 March 2024); https://doi.org/10.1117/12.3014752
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KEYWORDS
Data modeling
Data conversion
Mathematical optimization
Education and training
Machine learning
Performance modeling
Principal component analysis
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