热力发电Issue(9)：137-141,5.DOI:10.3969/j.issn.1002-3364.2014.09.137
分层概率符号有向图在热力系统故障诊断中的应用
Application of hierarchical probability signed directed graph in thermal system
摘要
Abstract
Due to the complicated structure of conventional signed directed graph (SDG)model of complex thermal system,problems like combinatorial explosion in search paths and difficulty in distinguishing mul-tiple fault sources occur easily during the diagnosis.Thus,the hierarchical probability signed directed graph (SDG)model was proposed,which uses the layered method to simplify the search paths and describes the causal relationship between failures by applying a combination method of qualitative and quantitative meth-od.Moreover,a new fault diagnosis method based on the hierarchical probabilistic signed directed graph was put forward.This method takes advantage of the established SDG model to reduce the search space first,and then employs the compatibility and Bayesian inference to diagnose the faults,at last,it calculates the probability of failure and possible sequence of the source.Finally,this method was applied in failure di-agnosis of high pressure heater system of a 300 MW unit.The results show that,this method not only im-proves the fault source resolution but also reduces the search space,which avoids the"combinatorial explo-sion".关键词
热力系统/故障诊断/符号有向图/贝叶斯推理/分层概率/相容通路Key words
Bayesian inference/signed directed graph/hierarchical directed graph/compatible branch/ther-mal system分类
信息技术与安全科学引用本文复制引用
杨蕊,谢刚,陈泽华,李勇伟,赵鹏..分层概率符号有向图在热力系统故障诊断中的应用[J].热力发电,2014,(9):137-141,5.基金项目
国家自然科学基金(60975032) （60975032）
山西省青年科技研究基金(2009021017-4) （2009021017-4）
山西省留学回国人员科技活动择优资助项目(2013-68,2013-69,2011-172) （2013-68,2013-69,2011-172）
