@Article{2019.100000098,
AUTHOR = {Nan Pan, Dilin Pan, Yi Liu, Gang Li},
TITLE = {Study of Shearing Line Traces Laser Detection System},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {367--373},
URL = {http://www.techscience.com/iasc/v25n2/39664},
ISSN = {2326-005X},
ABSTRACT = {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.},
DOI = {10.31209/2019.100000098}
}