Research on Fault Diagnosis Method of Tunnel Inspection Robot Based on T−S Fuzzy FTA
Auteur(s): |
Wen-feng Li
Hao Ding Ke Li Qiu-zhuo Liu Xing-hong Jiang |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | IOP Conference Series: Materials Science and Engineering, 1 janvier 2020, n. 1, v. 741 |
Page(s): | 012059 |
DOI: | 10.1088/1757-899x/741/1/012059 |
Abstrait: |
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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10675399 - Publié(e) le:
12.06.2022 - Modifié(e) le:
12.06.2022