重庆大学学报2018，Vol.41Issue(4)：11-19,9.DOI:10.11835/j.issn.1000-582X.2018.04.002
故障树和人工神经网络在可靠性再分配中的应用
The application of FTA and ANN in reliability reallocation
摘要
Abstract
In the process of product reliability design,usually,the distribution of reliability index is not completed in one time.Different design stages have different reliability allocation methods.With the deepening of the design process,the results of the preliminary distribution may be unsatisfactory,so it's necessary to re-allocate the reliability index in middle and late stages.Prior to the index allocation,all the minimal cut sets are classified by a certain algorithm,and then the selected minimum cut sets to be allocated are distributed by using an artificial neural network (ANN).The ultimate goal is to allocate the reliability index to the minimal cut sets or elementary events of fault tree.By comparing the initial reliability before distribution and the reliability after distribution,we can find out the weak points in product design and then improve the design,which examines the results of FMECA (failure mode,effects and criticism analysis) to some extent.关键词
故障树/人工神经网络/可靠性再分配Key words
FTA(fault tree analysis)/ANN/reliability reallocation分类
通用工业技术引用本文复制引用
鞠萍华,蒋德轩,冉琰..故障树和人工神经网络在可靠性再分配中的应用[J].重庆大学学报,2018,41(4):11-19,9.基金项目
国家自然科学基金资助项目(51775070) （51775070）
国家“高档数控机床与基础制造装备”科技重大专项(2016ZX04004-005) （2016ZX04004-005）
中央高校基本科研业务费(106112017CDJXY110006)资助.Supported by National Natural Science Foundation of China (51775070),National Major Scientific and Technological Special Project for “High-grade CNC and Basic Manufacturing Equipment",China (2016ZX04004-005) and the Fundamental Research Funds for the Central Universities (106112017CDJXY110006). （106112017CDJXY110006）
