Markov repairable systems with stochastic regimes switching

Compared with the classical Markov repairable system, the Markov repairable system with stochastic regimes switching introduced in the paper provides a more realistic description of the practical system. The system can be used to model the dynamics of a repairable system whose performance regimes switch accord- ing to the external conditions. For example, to satisfy the demand variation that is typical for the power and communication systems and reduce the cost, these systems usually adjust their operat- ing regimes. The transition rate matrices under distinct operating regimes are assumed to be different and the sojourn times in dis- tinct regimes are governed by a finite state Markov chain. By using the theory of Markov process, Ion channel theory, and Laplace transforms, the up time of the system are studied. A numerical example is given to illustrate the obtained results. The effect of sojourn times in distinct regimes on the availability and the up time are also discussed in the numerical example.

[1]  Alan G. Hawkes,et al.  Properties of single ion channel currents elicted by a pulse of agonist concentration or voltage , 1997, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[2]  Nikolaos Limnios,et al.  Modelling and estimating the reliability of stochastic dynamical systems with Markovian switching , 2008, Reliab. Eng. Syst. Saf..

[3]  Mohd Tahir Ismail,et al.  Modelling exchange rates using regime switching models , 2006 .

[4]  H. Krolzig Markov-Switching Vector Autoregressions: Modelling, Statistical Inference, and Application to Business Cycle Analysis , 1997 .

[5]  James D. Hamilton,et al.  Long Swings in the Dollar: Are They in the Data and Do Markets Know It? The American Economic Review , 1990 .

[6]  D. Widder,et al.  The Laplace Transform , 1943, The Mathematical Gazette.

[7]  A G Hawkes,et al.  Stochastic behavior of ion channels in varying conditions. , 1997, IMA journal of mathematics applied in medicine and biology.

[8]  James D. Hamilton Time Series Analysis , 1994 .

[9]  Wei Chen,et al.  Availability of markov repairable systems with changeable operating regimes , 2010, 2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management.

[10]  Nalini Ravishanker,et al.  NHPP models with Markov switching for software reliability , 2008, Comput. Stat. Data Anal..

[11]  Robert J. Elliott,et al.  On risk minimizing portfolios under a Markovian regime-switching Black-Scholes economy , 2010, Ann. Oper. Res..

[12]  James D. Hamilton A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[13]  Gregory Levitin,et al.  Multi-State System Reliability - Assessment, Optimization and Applications , 2003, Series on Quality, Reliability and Engineering Statistics.

[14]  Tae-Jin Lim A stochastic regime switching model for the failure process of a repairable system , 1998 .

[15]  Chang-Jin Kim,et al.  Estimation of Markov regime-switching regression models with endogenous switching , 2003 .

[16]  Rogemar Mamon,et al.  A self-tuning model for inflation rate dynamics , 2010 .

[17]  A. Hawkes,et al.  On the stochastic properties of bursts of single ion channel openings and of clusters of bursts. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.