DocumentCode
3512910
Title
Research on optimal method for fault maintenance strategy based on AND/OR graph searching
Author
Wang, Wei ; Yang, Kun ; Bai, Jie ; Li, Ailing ; Li, Ning
Author_Institution
Coll. of Aeronaut. Eng., Civil Aviation Univ. of China, Tianjin, China
fYear
2009
fDate
20-24 July 2009
Firstpage
670
Lastpage
673
Abstract
The excellent maintainability is the significant characteristic of the aero-engine, which ensures the maintenance high quality, high efficiency and low cost, but values of one attribution of aero-engine fault are more than one. In this paper, we consider a multi-valued test sequencing (MVTS) problem, in which a test may have an arbitrary number of possible outcomes denoting different behaviors. The multi-valued test sequencing problem can be solved through dynamic programming to find the optimal test sequence, but the time and space is large. In order to deal with this problem, we propose multivalued AO* algorithm, called MVAO*, based on multivalued heuristic evaluation function (MVHEF) in the AO*. With one aircraft gas turbine engine, we demonstrate that MVAO* is efficient and effective for optimizing test sequences problem with multiple test responses.
Keywords
aerospace engines; aircraft maintenance; dynamic programming; fault tolerant computing; gas turbines; multivalued logic; AND/OR graph searching; aircraft gas turbine engine; dynamic programming; fault maintenance strategy; multi-valued AO* algorithm; multi-valued heuristic evaluation function; multi-valued test sequencing problem; optimal test sequence; Aerospace engineering; Aircraft propulsion; Cost function; Dynamic programming; Educational institutions; Electronic mail; Fault diagnosis; Industrial relations; Sequential analysis; System testing; fault diagnosis; heuristic search; test sequencing;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4903-3
Electronic_ISBN
978-1-4244-4905-7
Type
conf
DOI
10.1109/ICRMS.2009.5270105
Filename
5270105
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