DocumentCode
1681536
Title
Evidence-based Bayesian networks approach to airplane maintenance
Author
Kipersztok, Oscar ; Dildy, Glenn A.
Author_Institution
Math. & Comput. Technol., Boeing Co., Seattle, WA, USA
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2887
Lastpage
2891
Abstract
A system that facilitates airplane maintenance provides decision support for finding the root-cause of a failure from observed symptoms and findings. Such system provides diagnostic advice listing the most probable causes and recommending possible remedial actions. Furthermore, its goal is to reduce the number of delays and cancellations and unnecessary parts removal, which add significant costs to airplane maintenance operations. A Bayesian belief network, model-based approach is presently being used for building such diagnostic models. The paper describes the pertinent issues in using such models
Keywords
aerospace computing; aircraft maintenance; belief networks; case-based reasoning; decision support systems; diagnostic expert systems; neural nets; DSS; airplane maintenance; decision support system; diagnostic advice; evidence-based Bayesian networks; failure cause finding; remedial actions; root-cause; Air safety; Airplanes; Bayesian methods; Computational modeling; Computers; Costs; Delay; Maintenance; Mathematics; Medical simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007607
Filename
1007607
Link To Document