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Journal ArticleDOI

Markov Approach to Finding Failure Times of Repairable Systems

John A. Buzacott
- 01 Nov 1970 - 
- Vol. 4, Iss: 4, pp 128-134
TLDR
In this article, a Markov approach is used to calculate the mean cycle time and the mean time to first failure of a repairable system, and various special techniques such as lumping states or decomposing the system into independent subsystems are discussed.
Abstract
In analyzing repairable systems it is often necessary to determine such parameters as availability, mean cycle time, and mean time to first failure. These and other failure time measures are defined, and methods of calculating them using a Markov approach are developed. Although conceptually simple, these methods are often not practically feasible because of the large number of possible system states. Various special techniques such as lumping states or decomposing the system into independent subsystems are discussed. These techniques, if applicable, can simplify the analysis considerably.

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Citations
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Game Theory for Network Security

TL;DR: This paper reviews the existing game-theory based solutions for network security problems, classifying their application scenarios under two categories, attack-defense analysis and security measurement and discusses the limitations of those game theoretic approaches and proposes future research directions.
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The Concept of Coverage and Its Effect on the Reliability Model of a Repairable System

TL;DR: It is shown that even a small number of such faults may severely degrade the mean time to system failure and the expected downtime for an otherwise highly reliable system.
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Optimal Load Balancing in a Multiple Processor System with Many Job Classes

TL;DR: In the above paper1, an error was made in the Load Balancing Algorithm so a more clear recursive way to present this algorithm is to modify steps S3 to S5 as follows.
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Transient analysis of manufacturing systems performance

TL;DR: This paper focuses on transient analysis of Markovian models of manufacturing systems with deadlocks or failures, and discusses two problems for demonstrating the importance of transient analysis.
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A combined evaluation of performance and reliability for degradable systems

TL;DR: With good fault-detection mechanisms it is now possible to cover a very high percentage of all the possible failures that can occur, and once a fault is detected, systems are designed to reconfigure and proceed either with full or degraded performance depending on how much redundancy is built into the system.
References
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Book

Finite Markov chains

TL;DR: This lecture reviews the theory of Markov chains and introduces some of the high quality routines for working with Markov Chains available in QuantEcon.jl.
Journal ArticleDOI

The decomposition of stochastic automata

TL;DR: With these definitions the authors are able to prove decomposition theorems for stochastic automata which reduce to those of Hartmanis in the deterministic case.
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Steady-State Reliability of Systems of Mutually Independent Subsystems

TL;DR: In this paper, the reliability of a redundant system with repair is considerably simplified when the system can be subdivided into mutually independent subsystems and results can be obtained without knowing the failure of repair time distributions of the subsystems.
Journal ArticleDOI

Finding the MTBF of repairable systems by reduction of the reliability block diagram

TL;DR: In this paper, the MTBF of a series-parallel reliability block diagram of a system of independent units with independent failures and with adequate repair facilities to initiate the repair of any unit when it fails are considered.
Journal ArticleDOI

Reliability Prediction for Continuously Operating Systems

TL;DR: In this article, the authors considered the prediction of reliability for a complex system designed for continuous operation, where the state of the system is defined by identifying the subsystems which are functioning, the remainder undergoing repair (no inactive standby).
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