Expert system for fault diagnosis in power system operation

Pao Yue-kong Library Electronic Theses Database

Expert system for fault diagnosis in power system operation

 

Author: Tang, Man-kei
Title: Expert system for fault diagnosis in power system operation
Degree: M.Sc.
Year: 1997
Subject: Expert systems (Computer science)
Electric power systems -- Data processing
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Pages: v, 75 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1437021
URI: http://theses.lib.polyu.edu.hk/handle/200/5270
Abstract: This dissertation describes the development of a fault diagnosis system for power system operation with rule-based expert system. The present situation and industrial trends of application of fault diagnosis system for power system is first outlined. This is followed by a literature review of expert system which includes the history, structure, search methods, control strategies and verification and validation methodologies. A detailed discussion of the methodologies and approaches in the implementation of present industrial fault diagnosis systems is manifested. The system design of this fault diagnosis system is then presented with the practical consideration of integration of this system with the alarm processing system and existing EMS system, the modelling of power system network from exisitng EMS system database, the acquisition of rules from power system protection schemes, the processing speed and diagnostic requirement and the practical issues on the maintainability. Afterwards, a detailed discussion on the practical implementation of the system which is followed by verification and testing of the system with genuine fault cases. At last, a conclusion and a discussion on the future development of this fault diagnosis system is presented.

Files in this item

Files Size Format
b14370219.pdf 2.220Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information