A bearing early fault diagnosis method based on feedforward control stochastic resonance
A feedforward control, early failure technology, used in mechanical bearing testing, mechanical component testing, machine/structural component testing, etc., to achieve good application prospects, enhance stochastic resonance effects, and enhance detectability.
Active Publication Date: 2018-12-04
CHINA JILIANG UNIV
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In the process of real-time detection, there must be a contradiction between detection accuracy and detection speed.
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[0039] The present invention utilizes a square-wave-like feedforward control signal and an adaptive coupling bistable system based on a genetic algorithm, and proposes a bearing early fault diagnosis method based on feedforward control stochastic resonance, such as figure 1 As shown, it specifically includes the following steps:
[0040] (1) The original bearing signal is collected by the sensor; specifically: the signal generated by the bearing fault is collected by the sensor installed around the bearing, and the signal is amplified by the amplifier, and the analog signal is converted into a digital that can be recognized and processed by the computer through A / D conversion Signal;
[0041] (2) Process the original bearing signal to obtain a square wave-like signal, and use the square-wave-like signal as a feedforward control signal; specifically:
[0042]It can be seen from the frequency domain spectrogram that the square wave signal has three characteristics: discretenes...
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The invention discloses a bearing early fault diagnosis method based on feedforward control stochastic resonance, comprising the following steps: (1) collecting original bearing signals by sensors; (2) processing the original bearing signals to obtain square wave-like signals, and As a feed-forward control signal; (3) The original bearing signal and the feed-forward control signal are scaled together, and converted into a small frequency signal with feed-forward control (4) The two bistable systems are coupled by nonlinear coupling bistable system; (5) use the small frequency signal obtained in step 3 as the input signal, and use the genetic algorithm to obtain the optimal parameters of the coupled bistable system; (6) input the small frequency signal obtained in step 3 into the optimal coupled bistable system , and realize the early fault diagnosis of bearings through scale reduction. The invention proposes a feedforward control stochastic resonance method, searches for optimal system parameters of a coupled bistable system through a genetic algorithm, and combines feedforward control of stochastic resonance with an improved potential function, thereby generating and enhancing the stochastic resonance effect.
Description
technical field [0001] The invention belongs to signal processing and detection technology, in particular to a bearing early fault diagnosis method based on feedforward control stochastic resonance. Background technique [0002] People usually think that noise is a kind of harmful interference. Indeed, when detecting useful signals, noise will affect many detection systems, resulting in failure of normal detection. Therefore, people try to eliminate noise. However, the appearance of stochastic resonance is surprising—noise can also be turned into a beneficial signal. Stochastic resonance is a phenomenon that reflects that noise plays a positive role in nonlinear systems, that is, under certain nonlinear conditions, the nonlinear system enhanced periodic signal output caused by the synergistic effect of weak periodic signals and noise (random interference) The phenomenon. However, the generation and enhancement of stochastic resonance require conditions. Only when certain ...
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IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 林敏褚政泱黄咏梅
Owner CHINA JILIANG UNIV