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

作　　者：陆凤仪[1] 赵科渊 徐格宁[1] 戚其松[1] 

机构地区：[1]太原科技大学机械工程学院,山西太原030024

出　　处：《工程设计学报》2017年第6期609-617,共9页Chinese Journal of Engineering Design

基　　金：国家自然科学基金资助项目(51275329);太原科技大学博士科研启动项目(20162028)

摘　　要：针对传统故障树布尔逻辑难以描述事件之间的关系,且在实际应用中可靠性数据获取不足的问题,提出一种基于多源信息融合方法和T-S模糊故障树的小子样多态系统可靠性评估方法。以T-S模糊故障树为基础,将相关函数多源信息融合法应用于底事件可靠度的确定。同时,为避免不可用数据的影响,提出t检验对样本数据和验前信息进行相容性检验,解决了小子样系统中底事件可靠度难以确定的问题,提高了预测精度。基于铸造起重机主起升机构可靠性评估对提出的方法进行验证,结果表明所提出的方法能够很好地应用于铸造起重机起升机构的可靠性评估,可为提高起升机构可靠性提供支持和参考。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 reliability 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 method 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 information 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 improved.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 reference 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 

分 类 号：TH218[机械工程—机械制造及自动化] U462.35[机械工程—车辆工程]