Research on Fault Diagnosis Method of Tunnel Inspection Robot Based on T−S Fuzzy FTA
Autor(en): |
Wen-feng Li
Hao Ding Ke Li Qiu-zhuo Liu Xing-hong Jiang |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | IOP Conference Series: Materials Science and Engineering, 1 Januar 2020, n. 1, v. 741 |
Seite(n): | 012059 |
DOI: | 10.1088/1757-899x/741/1/012059 |
Abstrakt: |
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. |
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12.06.2022