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Research on Fault Diagnosis Method of Tunnel Inspection Robot Based on T−S Fuzzy FTA

Author(s):




Medium: journal article
Language(s): English
Published in: IOP Conference Series: Materials Science and Engineering, , n. 1, v. 741
Page(s): 012059
DOI: 10.1088/1757-899x/741/1/012059
Abstract:

Aiming at the intelligent fault diagnosis of tunnel inspection robot, the T-S fuzzy fault tree method was proposed to build the intelligent diagnosis system. Taking positioning system of the robot as an example, the T-S fuzzy FTA model of the system was established. And the T-S importance of each component and fault checking sequence were calculated using the T-S fuzzy gate rule. The example analysis results show that, the method improves the accuracy and practicability of fault diagnosis of the robot system.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1757-899x/741/1/012059.
  • About this
    data sheet
  • Reference-ID
    10675399
  • Published on:
    12/06/2022
  • Last updated on:
    12/06/2022
 
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