工程设计学报2017，Vol.24Issue(6)：609-617,9.DOI:10.3785/j.issn.1006-754X.2017.06.001
基于多源信息融合及模糊故障树的小子样可靠性评估
Reliability assessment of small sample based on multiple source information fusion and fuzzy fault tree
摘要
Abstract
Aiming at the problems that was difficult to describe the relationship between events by the Boolean logic of conventional fault tree analysis (FTA) ,and the insufficient of getting relia-bility data in the practical application ,a new polymorphic system reliability assessment method using small sample based on multiple source information fusion method and T -S fuzzy faulty tree was proposed .Based on T-S fuzzy fault tree ,correlation multiple source information fusion meth-od was applied to the confirmation of the basic event reliability .Meanwhile ,in order to avoid the influence of unusable data ,t-test was proposed to check the compatibility between prior informa-tion and sample information ,which solved the problem that the reliability of the bottom event was difficult to be determined in the small sample system ,and the prediction accuracy was im-proved .The proposed method was validated by using main hoisting mechanism of ladle crane . The results demonstrate that the proposed method can be applied to hoisting mechanism reliability assessment of ladle crane commendably ,and the technique provides support and refer-ence to improve the reliability of hoisting mechanism .关键词
t检验/多源信息融合/T-S模糊故障树/可靠性评估/起升机构Key words
t-test/multiple source information fusion/T-S fuzzy fault tree/reliability assessment/hoisting mechanism分类
机械制造引用本文复制引用
陆凤仪,赵科渊,徐格宁,戚其松..基于多源信息融合及模糊故障树的小子样可靠性评估[J].工程设计学报,2017,24(6):609-617,9.基金项目
国家自然科学基金资助项目(51275329) （51275329）
太原科技大学博士科研启动项目(20162028) （20162028）
