基于多源信息融合及模糊故障树的小子样可靠性评估

发布时间：2018-06-03 17:22

  本文选题：t检验 + 多源信息融合　； 参考：《工程设计学报》2017年06期

【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。
[Abstract]:In view of the fact that the traditional fault tree Boolean logic is difficult to describe the relationship between events, and in practical application, the reliability data acquisition is insufficient. A reliability evaluation method for small sample polymorphic systems based on multi-source information fusion and T-S fuzzy fault tree is proposed. Based on T-S fuzzy fault tree, the correlation function multi-source information fusion method is applied to determine the reliability of bottom event. At the same time, in order to avoid the influence of unusable data, t test is put forward to test the compatibility of sample data and prior information, which solves the problem that the reliability of bottom event is difficult to determine in small sample system, and improves the prediction accuracy. The proposed method is verified based on the reliability evaluation of the main hoisting mechanism of the foundry crane. The results show that the proposed method can be applied to the reliability evaluation of the hoisting mechanism of the foundry crane. It can provide support and reference for improving the reliability of hoisting mechanism.
【作者单位】： 太原科技大学机械工程学院;
【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)
【分类号】：TG231.1
，

本文编号：1973584