Dependability for Systems with a Partitioned State Space: Markov And Semi-Markov Theory And Computational Implementation (Lecture Notes In Statistics): 90 - Softcover
Synopsis
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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Dependability for Systems with a Partitioned State Space: Markov and Semi-Markov Theory and Computational Implementation
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Springer-Verlag, New York, Berlin, Heidelberg, 1994
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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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Dependability for Systems with a Partitioned State Space : Markov and Semi-Markov Theory and Computational Implementation
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Dependability for Systems with a Partitioned State Space: Markov and Semi-Markov Theory and Computational Implementation (Lecture Notes in Statistics)
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Dependability for Systems with a Partitioned State Space
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Springer New York, 1994
ISBN 10: 0387943331
ISBN 13: 9780387943336
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Seller Inventory # 5911964
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Dependability for Systems with a Partitioned State Space
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Springer New York Jul 1994, 1994
ISBN 10: 0387943331
ISBN 13: 9780387943336
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 256 pp. Englisch. Seller Inventory # 9780387943336
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Dependability for Systems with a Partitioned State Space
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Copernicus, Springer Jul 1994, 1994
ISBN 10: 0387943331
ISBN 13: 9780387943336
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 256 pp. Englisch. Seller Inventory # 9780387943336
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Dependability for Systems with a Partitioned State Space : Markov and Semi-Markov Theory and Computational Implementation
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9780387943336
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Dependability for Systems with a Partitioned State Space : Markov and Semi-Markov Theory and Computational Implementation
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | 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. Seller Inventory # 1531364/202