DocumentCode
2471304
Title
Corrective maintenance process simulation algorithm research based on process interaction
Author
Gao, Bocheng ; Guo, Linhan ; Ma, Lin ; Wang, Kai
Author_Institution
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1
Lastpage
5
Abstract
Corrective maintenance process simulation is one of the most important methods to equipment supportability analysis, and it can analyze and evaluate the unavailable time induced by failure to equipment system. In this article, specific design of corrective maintenance process simulation software using Process Interaction method (PIM) is achieved. Relevant processes and entities which are in corrective maintenance process simulation model are defined, and the functions of the processes and entities are analyzed. Basic principle based on PIM about how to impel the simulation clock is illustrated. Corrective maintenance process classes are achieved. Static structure classes diagram and maintenance activities diagram within interacting processes are established. The proposed methodology is a guidance for corrective maintenance activities simulation platform development, and it can be more easily extended to support the concurrently maintenance activities simulation.
Keywords
digital simulation; machinery production industries; maintenance engineering; production engineering computing; production equipment; corrective maintenance process class; corrective maintenance process simulation algorithm; corrective maintenance process simulation model; corrective maintenance process simulation software; equipment supportability analysis; equipment system failure; maintenance activity diagram; process interaction method; simulation clock; static structure classes diagram; Analytical models; Clocks; Educational institutions; Maintenance engineering; Processor scheduling; Programming; Resumes; Process Interaction methods(PIM); corrective maintenance process; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location
Beijing
ISSN
2166-563X
Print_ISBN
978-1-4577-1909-7
Electronic_ISBN
2166-563X
Type
conf
DOI
10.1109/PHM.2012.6228942
Filename
6228942
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