Bearing signal denoising method based on improved wavelet algorithm
A wavelet algorithm and signal technology, applied in computing, computer parts, mechanical parts testing, etc., can solve problems such as selection, wavelet threshold selection, etc., and achieve good denoising effect
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[0029] Below in conjunction with the drawings. The present invention will be further described in detail through examples.
[0030] In the embodiment.
[0031] A bearing signal denoising method based on improved wavelet algorithm, specific steps: figure 1 Wavelet denoising process.
[0032] (1) First, perform wavelet transformation on the noisy signal to obtain wavelet decomposition coefficients. Decompose the coefficient w by wavelet j,k ;
[0033] (2) For the wavelet decomposition coefficient w j,k Select appropriate threshold and threshold function for processing to obtain the estimated wavelet decomposition coefficient f(w j,k );
[0034] (3) Reconstruct the estimated wavelet decomposition coefficients to obtain the denoising signal.
[0035] Derivation of logarithmic decay threshold function, such as figure 2 The soft threshold function, the hard threshold function, and the approximation logarithmic threshold function are as shown;
[0036] (1) Approximation: when w j,k >0: The ...
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