Open AccessResearch on Ship Electronic Power System Fault Diagnosis Based on Expert System
Author(s) -
Liang Chen,
Shudong Wang,
Rui Chen,
Shuai Zhao,
Yongyong Wu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/738/1/012017
Subject(s) - fault (geology) , expert system , reliability engineering , fault coverage , fault indicator , knowledge base , electric power system , reliability (semiconductor) , fault model , frame (networking) , power (physics) , computer science , stuck at fault , engineering , point (geometry) , control engineering , fault detection and isolation , artificial intelligence , electronic circuit , electrical engineering , telecommunications , physics , geometry , mathematics , quantum mechanics , seismology , actuator , geology
Aiming at the difficulty in locating the fault point quickly and accurately after the ship electronic power system fault. In this paper, fault diagnosis expert system is used to diagnose the fault occurred to ensure stability of power supply of ship power system. The possible faults are divided into four categories on the base of analysis of ship electrical system fault characteristics. Frame structure is used to describe the connections between the various parts of the ship power system in knowledge presentation. Expert system uses production rules to describe the specific fault and combine the ideal of fuzzy inference to dealing with the uncertainty in fault diagnosis at the same time. The expert system designed in this paper can find fault points and provide solutions quickly and accurately and improves the reliability of the ship power system by test.