Left and right potential well particle transition rate difference induced resonance enhanced mechanical transient feature extraction method

Abstract

The invention discloses a left and right potential well particle transition rate difference induced resonance enhanced mechanical transient feature extraction method, and overcomes the defects that only a single fault feature frequency amplitude is enhanced and repeated transient features cannot be extracted in an existing stochastic resonance-based fault detection method. The problem that a resonance weak feature enhancement mechanism induced by left and right potential well asymmetric driving particle transition rate difference is not considered is solved. The method comprises the following steps: firstly, establishing a left potential well with single dynamic adjustable depth or width and asymmetric double-well potential with a right potential well, constructing a left and right potential well asymmetric double-well potential induction over-damping resonance system, and generating unequal or asynchronous left and right potential well particle transition rates; and then, constructing a left and right potential well asymmetric double-well potential-induced over-damping resonance array, inputting a plurality of sub-signals cut by a rectangular sliding window of a mechanical original signal into the resonance array, and optimizing array parameters by using a re-correction kurtosis index as a genetic algorithm objective function, thereby realizing the enhanced extraction of weak repeated transient characteristics of the mechanical early fault. And the kurtosis index of the original signal is improved by more than 80 times.

Description

technical field [0001] The invention belongs to the field of weak fault diagnosis of high-end equipment, and relates to a resonance-enhanced mechanical transient feature extraction method induced by the difference in transition rate of left and right potential well particles. Background technique [0002] High-end equipment has been exposed to extreme working conditions such as strong corrosion, strong radiation, high and low temperature, and strong impact for a long time, which can easily lead to fatigue failure of key components, causing huge economic losses and major catastrophic accidents, such as ships, aircraft, rockets, satellites, nuclear power plants, and high-speed rail. , wind power, etc. Facing the country's major strategic needs, the research on micro-damage detection on the surface of high-end equipment during use under extreme working conditions can not only guide the optimal design and manufacture of parts, but also guide the self-healing of minor damage in t...

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Problems solved by technology

[0005] The present invention aims to propose a resonance-enhanced mechanical transient feature extraction method induced by the difference in the transition rate of left and right potential well particles, aiming at the existing stochastic resonance fault detection technology which only enhances the single fault characteristic frequency amplitude and ignores the fault characteristic frequency multiplier or sideband Information, prone to misdiagnosis of faults, unable to enhance the transient characteristics of mechanical repetition, and does not consider the problem of the unequal transition rate of the left and right potential wells of Brownian particles, will establish a single dynamic adjustable depth or width of the left potential well and an asymmetric double well potential of the left and right potential wells , by adaptively adjusting the depth or width of the left potential well, the transition rate of Brownian particles that is not synchronized or equal to that of the right potential well is generated, so that the difference in the transition rate of Brownian particles in the left and right potential wells is used to induce resonance and capture noise energy to enhance mechanical repetitive transient feature extraction

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