DocumentCode
2632369
Title
Development of electrical control system fault knowledge base and modeling inference
Author
Haibin, Yuan ; Jia, Li ; Haiwen, Yuan
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear
2011
fDate
21-23 June 2011
Firstpage
16
Lastpage
20
Abstract
A fault knowledge base management platform which uses the method of ADO.NET and directed graph is presented in this paper in order to deal with prognosis health management for electrical control system. At first, knowledge base is designed according to structure and function of the system, with hierarchical framework is taken into consideration to represent the relationship of electrical apparatus within a system, the fault topology model is derived based on directed graph with object oriented programming is proposed as design rules, Separate design model is created to add, delete, check and update easily. Secondly, knowledge update and display is given with method of decision making is also discussed in the fault model. Finally, design of power supply system for aerospace is given as case example to show the application of the platform.
Keywords
aircraft power systems; control engineering computing; decision making; deductive databases; directed graphs; fault diagnosis; inference mechanisms; knowledge based systems; object-oriented programming; power apparatus; power engineering computing; ADO.NET method; aerospace power supply system; decision making; design model; directed graph; electrical apparatus; electrical control system fault knowledge base system; fault knowledge base management platform; fault topology model; inference modelling; object oriented programming; prognosis health management; Analytical models; Circuit faults; Computational modeling; Control systems; Fault diagnosis; Object oriented modeling; Topology; control system; electrical apparatus; fault; knowledge base; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location
Beijing
ISSN
pending
Print_ISBN
978-1-4244-8754-7
Electronic_ISBN
pending
Type
conf
DOI
10.1109/ICIEA.2011.5975543
Filename
5975543
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