吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (02): 545-0548.

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Multifeature fusion based method for monitoring working status of instruments

SHANG Fei1, MA Jun-xiao1, YAO Li2, TIAN Di1, QIU Chun-ling1   

  1. 1.College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China；2.Testing Science and Experiment Center, Jilin University, Changchun 130061, China
  • Received:2008-04-08 Online:2010-03-01 Published:2010-03-01

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Abstract:

To overcome the nonrobustness of status detection using single feature, a multifusion based method is proposed to monitor the working status of instruments. Constraint equations are derived to improve the original circle detection algorithm, which based on right triangles inscribed in a circle. The fuzzy confidence of each feature is taken as model input, a Series and Parallel Combined Structure Model (SPCSM) is proposed. The SPCSM decides the state of working indicator of an instrument according to the comprehensive confidence obtained from the global fusion center. Experiments on electron probe (NO.EMXSM7) show that the proposed algorithm can execute online monitoring task accurately and reliably in a varying environment.

Key words: computer application, multifeature fusion, computer vision, status detection of instrument, scientific instrument

CLC Number: 

  • TP391
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