A study on intelligent fault diagnosis in engine room by Bayes method

被引：0
|
作者：
Meng, XY [1 ]
Bai, GL [1 ]
Shu, XL [1 ]
Bao, DD [1 ]
机构：
[1] Dalian Maritime Univ, Automat Res Inst, Dalian 116026, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Traditional monitoring equipment can only make alarm when a fault was detected. This paper focuses on an intelligent fault diagnosis system in engine room. By using anteriority Bayes data fusion and statistical inference method, we can build fault knowledge base and inference rules,,predict and fast diagnosis causes of fault. This method of intelligent diagnosis is suitable to those equipments that have their faults regulations. The article also applies these theories into practices in engine room.
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收藏
页码：631 / 634
页数：4
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