TY - EJOU AU - Pan, Nan AU - Pan, Dilin AU - Liu, Yi AU - Li, Gang TI - Study of Shearing Line Traces Laser Detection System T2 - Intelligent Automation \& Soft Computing PY - 2019 VL - 25 IS - 2 SN - 2326-005X AB - A set of laser detection system for shearing tools is developed, By holding breakage of the cable, firstly, using single-point laser displacement sensors to pick up surface features signal of line trace, then wavelet decomposition is used to reduce the noise, and the signal after noise reduction is obtained. After that, the threshold based sequence comparison method is used to achieve matches of similar coincidence for trace features, and then using a gradient descent method to getting the minimum cost of cost function value through continuous iterative, and finally realizing the fast traceability of corresponding shearing tool. KW - Line trace KW - Shearing tools KW - Threshold based sequence comparison KW - Machine learning DO - 10.31209/2019.100000098