Title :
Reliability analysis of AUV based on fuzzy fault tree
Author :
Bian, Xinqian ; Mou, Chunhui ; Yan, Zheping ; Xu, Jian
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
Traditional fault tree analysis method need obtain exact value of the event occurrence´s probability, un-completeness and fuzziness of the data is ignored. Fuzzy fault tree analysis method is proposed in study on the system reliability. The fuzzy fault tree of the AUV is established. Using operational rule calculated the fuzzy probability of the top event which is AUV can´t work normally and analysis the results. The results showed that this method can resolve the problem of fuzzy data and have part events failure criterion in fault tree analysis. It provided valuable reference for the design of the AUV, fault diagnosis and maintenance.
Keywords :
fuzzy set theory; mobile robots; probability; reliability; remotely operated vehicles; trees (mathematics); underwater vehicles; autonomous underwater vehicle; fuzzy fault tree analysis; fuzzy probability; operational rule; reliability analysis; Boolean algebra; Fault trees; Fuzzy systems; Hardware; Mechatronics; Probability; Reliability engineering; Reliability theory; US Department of Transportation; Uncertainty; Autonomous Underwater Vehicle; Fuzzy Fault Tree; Membership Function; Reliability;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246655