Bayesian network approach to fault diagnosis of a hydroelectric generation system

被引:28
作者
Xu, Beibei [1 ,2 ]
Li, Huanhuan [1 ,2 ]
Pang, Wentai [3 ]
Chen, Diyi [1 ,2 ,4 ]
Tian, Yu [5 ,6 ]
Lei, Xiaohui [5 ]
Gao, Xiang [1 ,2 ]
Wu, Changzhi [4 ]
Patclli, Edoardo [7 ]
机构
[1] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling, Shaanxi, Peoples R China
[2] Northwest A&F Univ, Inst Water Resources & Hydropower Res, Yangling 712100, Shaanxi, Peoples R China
[3] Inner Mongolia Water Resources & Hydropower Surve, Hohhot, Xinjiang, Peoples R China
[4] Curtin Univ, Sch Built Environm, Australasian Joint Res Ctr Bldg Informat Modellin, Perth, WA, Australia
[5] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing, Peoples R China
[6] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing, Jiangsu, Peoples R China
[7] Univ Liverpool, Inst Risk & Uncertainty, Liverpool, Merseyside, England
基金
中国国家自然科学基金;
关键词
Bayesian network; expert system; fault diagnosis; hydroelectric generation system; state evaluation; ENERGY GENERATION; TURBINE; TRANSIENT; DESIGN; MODEL; OPTIMIZATION; UNCERTAINTY; REDUCTION; DYNAMICS; CHINA;
D O I
10.1002/ese3.383
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study focuses on the fault diagnosis of a hydroelectric generation system with hydraulic-mechanical-electric structures. To achieve this analysis, a methodology combining Bayesian network approach and fault diagnosis expert system is presented, which enables the time-based maintenance to transform to the condition-based maintenance. First, fault types and the associated fault characteristics of the generation system are extensively analyzed to establish a precise Bayesian network. Then, the Noisy-Or modeling approach is used to implement the fault diagnosis expert system, which not only reduces node computations without severe information loss but also eliminates the data dependency. Some typical applications are proposed to fully show the methodology capability of the fault diagnosis of the hydroelectric generation system.
引用
收藏
页码:1669 / 1677
页数:9
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