Anti Interference Purification Recognition and Optimization of Electromechanical Equipment Fault Signals

Abstract

The working environment of large electromechanical equipment is complex, the probability of failure is higher, in order to improve the ability of fault diagnosis of electromechanical equipment, the need for anti interference filtering processing for fault signal, so as to ensure the stable operation of electromechanical equipment systems, this paper presents a fault signal spectrum analysis and adaptive characteristics of electromechanical equipment based on matched filter anti-interference purification and intelligent detection technology. Time-frequency analysis method is used to extract the fault signal extraction content of electrical and mechanical equipment. Using adaptive fault signal interference filter matched filter to purify the filtered data as input, the establishment of intelligent expert system, fault diagnosis of electromechanical equipment, anti-interference purification of electromechanical equipment fault signal identification is realized. The simulation results show that the anti-interference purification identification can be obtained with this method, it can accurately identify the fault signal of mechanical and electrical equipment, improve the detection capability of fault diagnosis and fault signal, improve the probability of accurate fault diagnosis.