GIS Equipment Automatic Detection Algorithm Based on WSN and Ultrasonic Vibration Signal Recognition
Aimed at the low intelligence level of gas insulated switchgear(GIS)equipment defect detection,this paper proposes an automatic detection algorithm for GIS equipment based on wireless sensor network(WSN)and ultrasonic vibration signal recognition.The algorithm uses WSN to collect and send ultrasonic vibration signal,and uses artificial fish swarm algorithm(AFSA)to optimize the number of intrinsic modal components and penalty factors of variational mode decomposition(VMD).The VMD algorithm after parameter optimization is used to decompose the ultrasonic vibration signal,and the decomposed in-trinsic mode components are used as long short-term memory(LSTM)network inputs to analyze the internal relationship be-tween the ultrasonic vibration characteristics and the defects of GIS equipment,so as to realize the automatic detection and iden-tification of defects.The simulation results show that compared with VMD-LSTM and AFSA-VMD-BPNN algorithms,the proposed AFSA-VMD-LSTM algorithm has a more ideal defect detection effect,its average defect recognition rate is 93.5％,which effectively improves the intelligent level of substation operation and maintenance.
wireless sensor networkGISartificial fish swarm algorithmequipment defect detectionmodal decomposition
万方数据
维普
