Open AccessResearch on Fault Diagnosis Method of Tunnel Inspection Robot Based on T−S Fuzzy FTA
Author(s) -
Wenfeng Li,
Hao Ding,
Ke Li,
Qiu-zhuo Liu,
Xinghong Jiang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/741/1/012059
Subject(s) - fuzzy logic , fault tree analysis , fault (geology) , robot , component (thermodynamics) , artificial intelligence , computer science , sequence (biology) , engineering , reliability engineering , seismology , geology , physics , genetics , biology , thermodynamics
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.