Self-adaptive noise reduction method based on EMD decomposition and wavelet threshold value
A wavelet threshold, adaptive technology, applied in character and pattern recognition, testing of mechanical parts, testing of machine/structural parts, etc., to achieve the best effect of noise reduction
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[0039] The present invention will be described in further detail below in conjunction with the examples.
[0040] The invention discloses an adaptive noise reduction method based on EMD decomposition and wavelet threshold. Firstly, EMD decomposition is performed on the vibration signal of a noisy bearing to obtain the imf i (t), this step replaces the part of the traditional wavelet decomposition, and overcomes the problem that the traditional wavelet decomposition needs to preset the type of wavelet basis function and the number of decomposition layers; then the noisy imf i (t) Select appropriate threshold and threshold function for processing and obtain f(imf j,k (t)); finally for f(imf j,k (t)) Carry out loop iterations until the RMSE denoising condition reaches the optimum. This step overcomes the problem of achieving the optimum denoising effect by manually setting the number of decomposition layers repeatedly during traditional wavelet reconstruction.
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