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23 August 2022 Research on fault diagnosis technology of hydropower station grounding grid based on adaptive algorithm
Cheng Li, Dongliang Qiao, Xian Li, Xu Wang, Litong Hao, Xiaolong Yin, Sa Li, Shaofei Zhang
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Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 1230515 (2022) https://doi.org/10.1117/12.2645589
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China
Abstract
The grounding grid is a critical facility to ensure the safety of personnel and equipment. After many years of operation, its cross-sectional area is often reduced due to corrosion, resulting in a decline in electrical safety performance. In engineering, the random excavation method is often used for fault diagnosis of grounding grid, which has a large workload and poor diagnosis effect. In this paper, based on the electrical network theory, an optimized particle swarm algorithm is constructed to diagnose grounding grid faults. MATLAB is used to optimize the measured data iteratively. It has high precision, solves the problem of blind excavation in engineering, and realizes the location of the fault area of the grounding grid.
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Cheng Li, Dongliang Qiao, Xian Li, Xu Wang, Litong Hao, Xiaolong Yin, Sa Li, and Shaofei Zhang "Research on fault diagnosis technology of hydropower station grounding grid based on adaptive algorithm", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 1230515 (23 August 2022); https://doi.org/10.1117/12.2645589
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KEYWORDS
Particles
Resistance
Particle swarm optimization
Corrosion
Computer simulations
Diagnostics
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