DocumentCode
114302
Title
Critical observations in a diagnostic problem
Author
Christopher, Cody James ; Cordier, Marie-Odile ; Grastien, Alban
Author_Institution
Artificial Intell. Group, Australian Nat. Univ., Canberra, ACT, Australia
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
382
Lastpage
387
Abstract
We claim that presenting a human operator in charge of repairing a faulty system with a small subset of observations relevant to the failure improves awareness and confidence of the operator. Consequently, we introduce the problem of finding a set of relevant observations (called the critical observations) that can be used to derive the same diagnosis as the full problem. We show how this problem can be solved and illustrate its benefits on a real diagnostic problem.
Keywords
power engineering computing; power system faults; critical observation; diagnostic problem; faulty system; Computational modeling; Conferences; Context; Electricity; Government; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7039411
Filename
7039411
Link To Document