Research on Magnetic Signal Extracting and Filtering of Coal Mine Wire Rope Belt Conveyer Defects

Because of wire rope conveyer belt with high load operating and complex conditions of coal mine, it is prone to cause conveyer belt horizontal rupture. It will bring tremendous hazards for coal mine safe production. Defects of wire rope and joints displacement are monitored by weak magnetic detection system. The algorithm of integration with wavelet transform and improved LMS adaptive filtering algorithm was used to extract sample signal and eliminate noise of monitoring signal. The experiment results show that wavelet transform can effectively extract sample signal from strong noise which provides good input interference signal for LMS adaptive filtering algorithm. Improved LMS adaptive filtering algorithm can quickly filter noise of monitoring signal with small error which makes a good foundation for quantity and quality analysis of defects. It is very important to safe production of coal mine.