哈尔滨工程大学学报2015，Vol.36Issue(10)：1421-1426,6.DOI:10.11990/jheu.201405068
基于多层流模型的不确定性故障诊断技术
An uncertain fault diagnosis technology based on multilevel flow models
摘要
Abstract
Nuclear power plants have large significantly interacting parameters. The symptoms of a fault may show up well away from the fault′s location with missleading degree of severity, while escaping pre-set alarm thresholds. It is very difficult to diagnose faults by definite rules. In this paper, Multilevel Flow Models were used to describe the operational characteristics of nuclear power plants where impact factor was introduced to quantify the strength of causality between fault symptoms. An uncertain fault diagnosis approach based on alarm analysis and Bayes theory was explored. That is, an uncertain fault diagnosis model of the primary coolant system was developed. The sound-ness of the proposed approach was verified through simulations. The proposed approach can identify faults logically and effectively. It can solve misdiagnosed and undiagnosed problems missed by the misleading certainty of rules and can assist operators in their deep level decision-making.关键词
故障诊断/多层流模型/贝叶斯理论/不确定性推理/核动力装置Key words
fault diagnosis/multilevel flow models/Bayes theory/uncertain reasoning/nuclear power plants分类
信息技术与安全科学引用本文复制引用
王文林,杨明,杨军,陈万青..基于多层流模型的不确定性故障诊断技术[J].哈尔滨工程大学学报,2015,36(10):1421-1426,6.基金项目
国家十二五核能开发基金资助项目(L20110489). （L20110489）
