DocumentCode
2840866
Title
Timetable design for a helicopter maintenance process using timed event Petri nets and max-plus algebra
Author
Königsberg, Zvi Retchkiman
Author_Institution
Inst. Politec. Nac., CIC, Mexico City, Mexico
fYear
2010
fDate
26-28 May 2010
Firstpage
4072
Lastpage
4077
Abstract
In this paper an algorithm for computing a generalized eigenmode of reducible regular matrices over the max-plus algebra is applied to a helicopter maintenance process. A timed event Petri net model is constructed from the state transition dynamics table that characterizes the transport system. A max-plus recurrence equation, with a reducible and regular matrix, is associated to the timed event Petri net. Next, given the reducible and regular matrix, the problem consists in giving an algorithm which will tell us how to compute its generalized eigenmode over the max plus algebra. The solution to the problem is achieved by studying some type of recurrence equations. In fact, by transforming the reducible regular matrix into its normal form, and considering a very specific recurrence equation, an explicit mathematical characterization is obtained, upon which the algorithm is constructed. The generalized eigenmode obtained sets a timetable for the helicopter maintenance process.
Keywords
Petri nets; eigenvalues and eigenfunctions; helicopters; maintenance engineering; matrix algebra; explicit mathematical characterization; generalized eigenmode; helicopter maintenance process; max-plus algebra; max-plus recurrence equation; reducible regular matrices; state transition dynamics table; timed event Petri net model; timetable design; transport system; Algebra; Circuits; Difference equations; Eigenvalues and eigenfunctions; Finite element methods; Helicopters; Matrices; Petri nets; Algorithm; Eigenmode; Helicopter Maintenance Process; Max-Plus Algebra; Recurrent Equations; Reducible Matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498417
Filename
5498417
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