Electromechanical device non-linear fault prediction method

Abstract

The invention discloses a non-linear fault prediction method for electromechanical equipment in the technical field of electromechanical equipment fault detection. The specific steps of the non-linear fault prediction method for electromechanical equipment are as follows: S1: Using multiple computer monitoring instruments and sensors to monitor the operating status of electromechanical equipment Collect status signals; S2: use stochastic resonance mathematical model for vibration signals to reduce noise; S3: realize parallel stochastic resonance detection of detection signals; S4: detect parallel stochastic resonance output signals; S5: realize automatic identification of detection signals , the present invention outputs the output results of stochastic resonance of different structures in parallel stochastic resonance, outputs the high-frequency part in the detection signal to the low-frequency part, reduces the noise of the detection signal, to achieve the optimal output of system parameters, and at the same time The chaotic vibrator can be used to give early warning of the upcoming failure of the detection signal, and the invention has simple algorithm and strong practicability.

Description

technical field [0001] The invention relates to the technical field of electromechanical equipment fault detection, in particular to a non-linear fault prediction method for electromechanical equipment. Background technique [0002] The fault diagnosis technology of mechanical equipment in modern production has been paid more and more attention. People have invested a lot of energy in research, and the fault diagnosis technology of mechanical and electrical equipment has made great progress. It improves the efficiency of fault diagnosis of electromechanical equipment, lays a solid foundation for the implementation of fault diagnosis analysis and repair of electromechanical equipment, and produces obvious economic and social benefits. Weak signal detection of early faults of electromechanical equipment has always been a research hotspot in the field of fault diagnosis. At present, the detection methods of electromechanical equipment mainly focus on two aspects: one is to use...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a nonlinear fault prediction method for electromechanical equipment to solve the problem that the structural parameters of the stochastic resonance system proposed in the above background technology seriously affect the output results and the traditional method suppresses noise, which inevitably damages the useful signal, which greatly affects the effect of weak signal detection

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