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Nonlinear tool traces fast tracing algorithm based on single point laser detection

Pan, Nan (author)
Blekinge Tekniska Högskola,Institutionen för maskinteknik
Kan, L. (author)
Kunming University of Science and Technology, CHI
Liu, Y. (author)
Kunming SNLab Tech Co., CHI
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Fu, W. (author)
Xiangyang Public Security Department Wuhan Railway Public Security Bureau, CHI
Hou, Z. (author)
Criminal Investigation Department of Railway Public Security Bureau, CHI
Li, G. (author)
Shijiazhuang Public Security Bureau, CHI
Qian, J. (author)
Kunming University of Science and Technology, CHI
Fu, X. (author)
Kunming University of Science and Technology, CHI
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 (creator_code:org_t)
IOS Press, 2019
2019
English.
In: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 36:2, s. 1109-1120
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • There are lots of line traces on the surface of the broken ends which left in the cable cutting case crime scene along the high-speed railway in China. The line traces usually present nonlinear morphological features and has strong randomness. It is not very effective when using existing image-processing and three-dimensional scanning methods to do the trace comparison, therefore, a fast algorithm based on wavelet domain feature aiming at the nonlinear line traces is put forward to make fast trace analysis and infer the criminal tools. The proposed algorithm first applies wavelet decomposition to the 1-D signals which picked up by single point laser displacement sensor to partially reduce noises. After that, the dynamic time warping is employed to do trace feature similarity matching. Finally, using linear regression machine learning algorithm based on gradient descent method to do constant iteration. The experiment results of cutting line traces sample data comparison demonstrate the accuracy and reliability of the proposed algorithm. © 2019 - IOS Press and the authors. All rights reserved

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Annan maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)

Keyword

Lasers
Machine learning
Signal detection
Wavelet transforms
Image processing
Iterative methods
Learning algorithms
Learning systems
Railroad plant and structures
Railroad transportation
Wavelet decomposition
Dynamic time warping
Feature similarities
Gradient Descent method
High - speed railways
Laser displacement sensors
Morphological features
Three-dimensional scanning
Wavelet domain features

Publication and Content Type

ref (subject category)
art (subject category)

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