NDLI: Research on optimal method for fault maintenance strategy based on AND/OR graph searching

Content Provider	IEEE Xplore Digital Library
Author	Wei Wang Kun Yang Jie Bai Ailing Li Ning Li
Copyright Year	2009
Description	Author affiliation: The Teaching and Research Section of Mechanical Processing The Academy of Equipment Command and Technology Beijing, 102249, China (Ailing Li; Ning Li) \|\| College of Aeronautical Engineering Civil Aviation University of China Tianjin, 300300, China (Wei Wang; Kun Yang; Jie Bai)
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 multi-valued $AO^{∗}$ algorithm, called $MVAO^{∗},$ based on multi-valued 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.
Starting Page	670
Ending Page	673
File Size	1052488
Page Count	4
File Format	PDF
ISBN	9781424449033
DOI	10.1109/ICRMS.2009.5270105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing fault diagnosis Industrial relations test sequencing Educational institutions Electronic mail Aircraft propulsion Aerospace engineering heuristic search Fault diagnosis Sequential analysis Cost function Dynamic programming
Content Type	Text
Resource Type	Article

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