A Method for Weak Information Recognition of Stochastic Resonance Current Based on Linear Search Strategy
A stochastic resonance and linear search technology, applied to pattern recognition in signals, character and pattern recognition, computer components, etc., can solve problems that affect the measured results and cannot directly apply current signals
Active Publication Date: 2021-05-28
XI AN JIAOTONG UNIV
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Problems solved by technology
As one of the main methods to deal with weak signals, the stochastic resonance method mainly adds a certain intensity of noise to the nonlinear system to realize the stochastic resonance of the system when detecting weak signals, and finally obtains the characteristic signal, but this method cannot be directly applied In the current signal in the background of strong noise
Since the stochastic resonance method takes the single target of structural parameters as the optimization object, it ignores the influence of noise intensity on the system, thus affecting the measured results output by the stochastic resonance system
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[0037] specific implementation plan
[0038] The present invention will be described in detail below with reference to the drawings and embodiments, using a set of analog current signals to describe the entire process of the stochastic resonance detection method based on the linear search strategy. The input periodic signal is where f 1 = 60Hz, f 2 = 40Hz, and μ are the phases of the input sine and cosine signals respectively, set μ=10.
[0039] A method for identifying stochastic resonance current weak information based on a linear search strategy, comprising the following steps:
[0040] 1) Select the sampling point length 4096, sampling frequency f s = 1000Hz input signal, the time domain diagram and frequency domain diagram are as follows figure 1 and figure 2 shown by figure 1 It can be seen that the spectrum of the measured signal can only reflect the periodic signal of 60Hz, and no spectral peak can be seen on the spectrogram at 40Hz, which shows that for t...
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A stochastic resonance current weak information identification method based on a linear search strategy, using the signal-to-noise ratio as the condition for the control system to generate stochastic resonance, has the advantage of maximizing the output signal-to-noise ratio of the control system by improving the noise intensity; max(SNR) is used as the objective function of system optimization, by estimating the weight function of the system structure parameter a and noise intensity D in each iteration process, and then revising the weight function in the iteration process, finally prompting the system to output the maximum The signal-to-noise ratio, thus improving the calculation ability to determine the system structure parameters by optimizing the signal-to-noise ratio SNR, and realizing the adaptive stochastic resonance of the current signal; because the difficulty of system search and the complexity of the weight function are reduced in the iterative process, it is reduced The calculation time is reduced, which is very suitable for the detection of current periodic signals.
Description
technical field [0001] The invention belongs to the technical field of motor fault diagnosis and monitoring, and in particular relates to a method for identifying weak information of stochastic resonance current based on a linear search strategy. Background technique [0002] As a driving device, the motor is widely used in various fields. Since its failure is related to changes in load, environment or other operating conditions and manufacturing defects, the detection and fault diagnosis of the operating state are complex, making the traditional method of detecting the motor There are certain difficulties in the state of the motor. In recent years, a new technology that uses the current signal as a motor state detection has been gradually applied in the industrial field. Current detection can directly reflect the information of the motor system, and has the characteristics of non-contact, high performance-to-noise ratio, and can directly reflect its transmission information...
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IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/08
Inventor 刘飞郝龙刘弹梁霖徐光华
Owner XI AN JIAOTONG UNIV