摘要
Abstract
In order to solve the problems of unstable operating conditions,high false operation rate and high failure rate of relay protection equipment in intelligent station,a hidden fault detection method based on fuzzy support vector machine is proposed.The multi wavelet transform method is used to process the collected signal data noise of relay protection equip-ment,the processed signal is input into the fuzzy support vector machine network,the membership function of hidden fault samples is calculated and the network is trained,and the fuzzy support vector machine model is established.By combining two class classifiers,hidden faults of relay protection equipment are classified and detected.Using the cuckoo algorithm to optimize the membership function and penalty function of the model,the fault detection accuracy is improved.The test re-sults show that the relative error results of hidden fault detection are lower than 0.2,the detection effect is good,and the maloperation rate and refusal rate of protection after application are lower than 0.3％.It can reliably complete the fault cate-gory detection of relay protection equipment under hidden fault operating conditions.关键词
模糊支持向量机/智能站/继电保护设备/隐性故障检测/隶属度函数/信号降噪Key words
fuzzy support vector machine/intelligent station/relay protection equipment/hidden fault detection/mem-bership function/signal noise reduction分类
信息技术与安全科学
