Algorithm development for the extended PMC model for fault detection

Author

Prasad, Vinod B.

Author_Institution

Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA

fYear

1991

fDate

7-10 Apr 1991

Firstpage

114

Abstract

An algorithm is developed to study the concept of fault diagnosis for a system which has initially been designed for fault diagnosis without repair using an extended PMC (Preparata, Metze, Chien) model. The concept of artificial intelligence is applied to the fault analysis. The connection assignments of the PMC model are modified. The modified connection assignment of each unit starts the process of additional fault diagnosis in a stepwise manner and the process will stop when necessary and sufficient conditions for fault diagnosis are violated. For the process of stepwise fault analysis, the method of artificial intelligence based on the complete set of axioms is used

Keywords

artificial intelligence; computer testing; distributed processing; fault location; inference mechanisms; AI-based method; artificial intelligence; distributed computer architectures; extended PMC model; fault detection; fault diagnosis; modified connection assignment; multiprocessor systems; stepwise fault analysis; Algorithm design and analysis; Artificial intelligence; Assembly; Computer architecture; Electrical fault detection; Fault detection; Fault diagnosis; Power system modeling; Sufficient conditions; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '91., IEEE Proceedings of

Conference_Location

Williamsburg, VA

Print_ISBN

0-7803-0033-5

Type

conf

DOI

10.1109/SECON.1991.147716

Filename

147716