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
Link To Document :
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