Bearing fault early diagnosis method based on adaptive frequency shift variable scale resonance technology

Abstract

The invention relates to the technical field of bearing fault diagnosis, and discloses a bearing fault early diagnosis method based on an adaptive frequency shift variable-scale vibration resonance technology. The method comprises the steps of firstly extracting an original vibration signal of a bearing, then processing the vibration signal of the bearing by a signal processing function to generate a superposed signal, and then optimizing the superposed signal by using a quantum genetic algorithm to adjust the parameters of a bistable situation function with the purpose of improving the signal-to-noise ratio, so that a waveform is outputted better. The method has the beneficial effects that the steady-state function parameters can be quickly optimized by utilizing the acquired signals through the quantum genetic algorithm, and the signal-to-noise ratio of the output signals is improved, so that the bearing fault characteristic signals are enhanced by utilizing the noise, the bearing fault is effectively detected, and the detection effect is superior to that of a traditional maximum correlation spectrum kurtosis deconvolution method.

Description

technical field [0001] The invention relates to the technical field of bearing fault diagnosis, in particular to an early diagnosis method for bearing faults using adaptive frequency-shift variable-scale resonance technology. Background technique [0002] Rolling bearings are commonly used components in mechanical equipment such as water turbines and wind turbines. During the service process of rolling bearings, they are prone to wear, peeling, pitting and other faults due to the impact of external complex loads. If the faults of rolling bearings are not detected and processed in time, Then the spread of faults may paralyze the entire equipment, resulting in serious economic losses. Therefore, periodic inspection and maintenance of bearings is required to facilitate risk assessment and parts replacement during early failures to reduce possible economic losses. [0003] Existing bearing fault detection mainly relies on fault signal processing technology, specifically, it jud...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a bearing fault early diagnosis method based on adaptive frequency shift and variable scale resonance technology, so as to solve the problem that the early fault signal of the bearing is difficult to extract

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