Yuan L.,Changsha Military Representative Agency |
Zhao J.,Changsha Military Representative Agency |
Li M.,Changsha Military Representative Agency |
Wang W.,Changsha Military Representative Agency |
And 2 more authors.
Jixie Qiangdu/Journal of Mechanical Strength
In conventional fault tree analysis, the failure probabilities of the element events are difficult to evaluate effectively in common cases for insufficiency in observation data. Fuzzy fault tree analysis algorithms make better use of existing data to gain better outputs. However, for the huge computational costs, in recent works, the analyses are performed by approximation formulae. A numerical algorithm is presented that solves the fuzzy fault tree problem with high accuracy by the extension principle, and adjust the search step by a self-adaption scheme according to the differential continuity of the membership function to save computational costs. An internal-combustion engine fault tree was solved by the algorithm, the result illustrates that the method is highly accurate and efficient. Source