Title :
Sequential fault diagnosis in system maintenance
Author :
Novak, Franc ; Biasizzo, Anton ; Zele, Minca
Author_Institution :
Jozef Stefan Inst., Ljubljana, Slovenia
Abstract :
The results of the study of the impact of symptomatic information on sequential fault diagnosis are presented. Typical test sequencing algorithms based on the concepts from information theory and heuristic AND/OR graph search methods are considered. The estimation of optimal weights of statistical data of faulty elements associated with given symptoms is discussed. Empirical results are presented for the case in which the symptomatic information is processed separately and in advance of the global failure rate data
Keywords :
failure analysis; graph theory; heuristic programming; information theory; maintenance engineering; search problems; statistics; faulty elements; global failure rate; heuristic AND/OR graph search methods; information theory; optimal weights; sequential fault diagnosis; statistical data; symptomatic information; system maintenance; test sequencing algorithms; Cost function; Decision trees; Fault diagnosis; Heuristic algorithms; Information theory; Inspection; Performance evaluation; Search methods; Statistics; System testing;
Conference_Titel :
CompEuro '93. 'Computers in Design, Manufacturing, and Production', Proceedings.
Conference_Location :
Pris-Evry
Print_ISBN :
0-8186-4030-8
DOI :
10.1109/CMPEUR.1993.289813
