Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency, and ut
This chapter presents the reliability of discrete-time semi-Markov systems. After some basic definit...
Chapter 10The aim of this chapter is to present dynamical systems evolving in continuous-time and pe...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Semi-Markovian model of control of restorable system with latent failures has been built with regard...
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discre...
An explicit form of reliability and economical stationary performance indexes for monotonous multico...
The characteristics of semi-Markov process we can translate on the reliability characteristics in th...
During rational operation of technical objects and systems various operational decisions are made an...
Abstract. Markovian models have been used for about a century now for the evaluation of the performa...
Composite performance and dependability analysis is gaining importance in the design of complex, fau...
In the reliability investigation of complex systems it sometimes becomes necessary to deal with dist...
A semi-Markov stochastic process is used for solving in a reliability problem in the paper. The prob...
Time redundancy is one of the methods to increase the reliability and efficiency of technical system...
The theory of semi-Markov processes has been used to design a model of a ‘technological module–stora...
Probabilistic model of a system composed of a main component, an emergency backup component and the ...
This chapter presents the reliability of discrete-time semi-Markov systems. After some basic definit...
Chapter 10The aim of this chapter is to present dynamical systems evolving in continuous-time and pe...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...
Semi-Markovian model of control of restorable system with latent failures has been built with regard...
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discre...
An explicit form of reliability and economical stationary performance indexes for monotonous multico...
The characteristics of semi-Markov process we can translate on the reliability characteristics in th...
During rational operation of technical objects and systems various operational decisions are made an...
Abstract. Markovian models have been used for about a century now for the evaluation of the performa...
Composite performance and dependability analysis is gaining importance in the design of complex, fau...
In the reliability investigation of complex systems it sometimes becomes necessary to deal with dist...
A semi-Markov stochastic process is used for solving in a reliability problem in the paper. The prob...
Time redundancy is one of the methods to increase the reliability and efficiency of technical system...
The theory of semi-Markov processes has been used to design a model of a ‘technological module–stora...
Probabilistic model of a system composed of a main component, an emergency backup component and the ...
This chapter presents the reliability of discrete-time semi-Markov systems. After some basic definit...
Chapter 10The aim of this chapter is to present dynamical systems evolving in continuous-time and pe...
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov pr...