Steel Cord Conveyor Belt Defect signal Noise Reduction Method Based on A Combination of Wavelet Packet and RLS Adaptive Filtering

Electromagnetic signal of steel cord conveyor belt defect is easy to be disturbed by Strong non-stationary noise in coal mine, even some defect signal may be overwhelmed by noise. Therefore, the defect signal noise reduction method based on a combination of wavelet packet and RLS adaptive filtering was put forward. Firstly, defect signal was decomposed by wavelet packet and got multi layer high frequency detail signal for wavelet packet decomposition. Then, the sum of multi layer high frequency detail signal was used as noise reference signal of RLS adaptive filtering. Finally, defect signal was reduced noise by RLS adaptive filtering. The noise reduction method was used to reduce the strong non-stationary noise of steel cord conveyor belt joint electromagnetic signal. The experiment results show that the noise reduction method had good filtering effect to non-stationary noise of steel cord conveyor belt defect signal, which can ensure defect signal to be effectively extracted. It has very important significance for the prevention of broken belt accident.