Planetary reducer external interference suppression method based on wavelet threshold
A planetary reducer and external interference technology, applied in the field of planetary reducer vibration data processing, can solve the problems of vibration data being easily affected by external interference and measurement noise, and difficulty in judging fault characteristics, so as to suppress the influence of random interference and improve the The effect of precision
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Embodiment 1
[0036] Embodiment 1 is a method for suppressing external interference of a planetary reducer based on wavelet threshold, which mainly solves the problem that the vibration signal of the bearing is susceptible to noise interference. First, the bearing vibration signal is decomposed by wavelet to obtain the wavelet coefficients of each decomposition layer; then the wavelet coefficients of low-frequency signals (ie, wavelet approximation coefficients) are retained, and the wavelet coefficients of high-frequency signals (ie, wavelet detail coefficients) are hierarchically adaptive. processing; finally, wavelet reconstruction is performed on the thresholded wavelet coefficients to obtain the noise-reduced signal. By constructing a hierarchical adaptive threshold function which is continuous at the threshold and differentiable in the wavelet domain, the defects of traditional threshold function reconstruction bias and excessive noise reduction can be improved. The noise reduction ex...
Embodiment 2
[0053] This embodiment 2 is based on the embodiment 1, and the overall implementation process of the planetary reducer external disturbance suppression method based on the improved wavelet threshold is as follows figure 1 As shown, the implementation process of improving wavelet threshold based on cross-correlation coefficient is as follows figure 2 shown.
[0054] Arrange two vibration sensors on the outer surface of the planetary reducer. The vertical direction of the two vibration sensors forms a certain angle An=90°. They are respectively arranged on the surfaces of two adjacent gear boxes of the planetary reducer to collect Surface vibration monitoring data such as image 3 shown.
[0055] Select an appropriate discrete wavelet basis function Ke as "sym3", determine the number of discrete wavelet decomposition layers Le = 3, and perform multi-layer discrete wavelet decomposition on the original data of the sensor, such as Figure 4 shown.
[0056] According to δ=σ×[(...
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