Dependability for Systems with a Partitioned State Space: Markov And Semi-Markov Theory And Computational Implementation (Lecture Notes In Statistics): 90 - Tapa blanda

Csenki, Attila

 
9780387943336: Dependability for Systems with a Partitioned State Space: Markov And Semi-Markov Theory And Computational Implementation (Lecture Notes In Statistics): 90
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ISBN 10: 0387943331 ISBN 13: 9780387943336
Editorial: Springer, 1994

Sinopsis

This work is concerned with the dependability characteristics of reliability models which have a partitioned state space. In applications these partitions will correspond to various degrees of system performance. Both discrete and continuous time systems are considered as well as Markov and semi-Markov systems. With these models one may develop many dependability characteristics including: the number of working periods during an interval, the number of repair periods until system breakdown, and the total time spent in the set of working states.
The author shows how the theory may be applied using numerous examples and with three computing packages: Matlab, Maple, and the Nag Fortran 77 subroutine library. As a result, researchers and practioners concerned with analyzing and modelling the performance of systems, and engineers working on systems dependability will find much of interest here.

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Reseña del editor

Probabilistic models of technical systems are studied here whose finite state space is partitioned into two or more subsets. The systems considered are such that each of those subsets of the state space will correspond to a certain performance level of the system. The crudest approach differentiates between 'working' and 'failed' system states only. Another, more sophisticated, approach will differentiate between the various levels of redundancy provided by the system. The dependability characteristics examined here are random variables associated with the state space's partitioned structure; some typical ones are as follows · The sequence of the lengths of the system's working periods; · The sequences of the times spent by the system at the various performance levels; · The cumulative time spent by the system in the set of working states during the first m working periods; · The total cumulative 'up' time of the system until final breakdown; · The number of repair events during a fmite time interval; · The number of repair events until final system breakdown; · Any combination of the above. These dependability characteristics will be discussed within the Markov and semi-Markov frameworks.

Reseña del editor

This work is concerned with the dependability characteristics of reliability models which have a partitioned state space. In applications these partitions will correspond to various degrees of system performance. Both discrete and continuous time systems are considered as well as Markov and semi-Markov systems. With these models one may develop many dependability characteristics including: the number of working periods during an interval, the number of repair periods until system breakdown, and the total time spent in the set of working states. The author shows how the theory may be applied using numerous examples and with three computing packages: MATLAB, MAPLE, and the NAG Fortran 77 subroutine library. As a result, researchers and practioners concerned with analyzing and modelling the performance of systems, and engineers working on systems dependability will find much of interest here.

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Editorial
Springer
Año de publicación
1994
Idioma
Inglés
ISBN 10 
0387943331
ISBN 13 
9780387943336
Encuadernación
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Número de páginas
256
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9781461226758: Dependability for Systems with a Partitioned State Space: Markov and Semi-Markov Theory and Computational Implementation

Edición Destacada

ISBN 10:  1461226759 ISBN 13:  9781461226758
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