On Combined PSO-SVM Models in Fault Prediction of Relay Protection Equipment

Since there are no monitoring devices in relay protection equipment of substations, it takes up a lot of manpower and material resources in operation and maintenance (O&M), and the efficiency is very low. In this paper, we solve the giving fault prediction model by applying particle swarm optimi...

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Veröffentlicht in:	Circuits, systems, and signal processing systems, and signal processing, 2023-02, Vol.42 (2), p.875-891
Hauptverfasser:	Yuming, Huang, Jiaohong, Luo, Zhenguo, Ma, Bing, Tang, Keqi, Zhang, Jianyong, Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Big Data Circuits and Systems Efficiency Electrical Engineering Electricity distribution Electronics and Microelectronics Engineering Failure rates Fault diagnosis Instrumentation Maintenance Model accuracy Neural networks Particle swarm optimization Power supply Prediction models Relay Signal processing Signal,Image and Speech Processing Substations Support vector machines System theory Technical services Time series Variables
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