JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (5): 103-109.doi: 10.6040/j.issn.1672-3961.0.2017.269

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Fault isolability analysis based on improved distance similarity

SONG Yang1, ZHONG Maiying2*   

  1. 1. School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China;
    2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • Received:2017-02-10 Online:2017-10-20 Published:2017-02-10

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Abstract: A fault isolability analysis approach based on improved distance similarity was proposed to evaluate quantitatively the difficulty level of fault isolation. A parity space-based fault diagnosis residual generator was taken as an example, and the improved fault isolation condition was constructed based on the difference of the residuals in probability distribution. Then the distance similarity and direction similarity of residuals were adopted to evaluate the difficulty level of fault isolation, and the quanlitative evaluation index of fault isolability was put forward. A simulation was carried out to analyze the fault isolability of a fixed-wing unmanned aerial vehicle longitudinal flight control system. The results demonstrated that the method could decide accurately the fault isolation condition, and evaluate quantitatively the difficulty level of fault isolation. The improved fault isolation condition was more intuitional, and the evaluation index could evaluate comprehensively the difference of residuals in both distance and direction compared with existing approaches.

Key words: residual generator, quantitative evaluation, fault diagnosis, improved distance similarity, fault isolability

CLC Number: 

  • TP206
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