Fault Diagnosis Expert System of Marine Propulsion System based on Access Database

被引:2
作者
Jiang, Jiawei [1 ]
Hu, Yihuai [1 ]
Cai, Donglin [1 ]
机构
[1] Shanghai Maritime Univ, 1550 Haigang Ave, Shanghai 201306, Peoples R China
来源
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE | 2018年 / 10836卷
关键词
fault diagnosis; expert systems; propulsion system; access database;
D O I
10.1117/12.2513858
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper firstly, introduces the definition and basic methods of fault diagnosis on board ship, and the actualities and development of fault diagnosis expert system are discussed, including the research work and practical significance of the project. The construction of a fault diagnosis expert system and its developed tools and are also introduced. Secondly, the design of fault diagnosis expert system for ship power plant was narrated in more details. The advanced database technology was introduced into the expert system. For example, on the basis of Access 2000 database in the system, created knowledge database of the expert system which includes rule precondition table, rule conclusion table and dictionary table. The inference engine was designed on the basis of uncertain inferential modal with reliability. It also reflects actual faulty environment of equipment more completely. Which could solve simultaneous problem with multi-trouble and multi-symptom.
引用
收藏
页数:7
相关论文
共 9 条
[1]  
Frederick W. R, 1994, IEEE T SMC, V3
[2]  
Hart A., 1986, KNOWLEDGE ACQUISITIO
[3]  
Jin Linbiao, 1996, SHIPBUILDING CHINA, V6
[4]  
Wang Daopin, 2001, THEORIES METHODS FAU
[5]  
Wang Yin, 2002, SHIP ENG, V4
[6]  
Wu Jinpei, 1997, INTELLIGENT FAULT DI
[7]  
Yang Junxiong, 1997, MARINE TECHNOLOGY, V2
[8]  
Yang Shuzi, 1991, ARTIFICIAL INTELLIGE
[9]  
Zhang Anhua, 1994, ELECTROMECHANICAL EQ