A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 3 Issue 1
Jan.  2016

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Baoliang Liu, Lirong Cui, Shubin Si and Yanqing Wen, "Performance Measures for Systems in Multiple Environments," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 1, pp. 90-95, 2016.
Citation: Baoliang Liu, Lirong Cui, Shubin Si and Yanqing Wen, "Performance Measures for Systems in Multiple Environments," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 1, pp. 90-95, 2016.

Performance Measures for Systems in Multiple Environments

Funds:

This work was supported by National Natural Science Foundation of China (71371031).

  • In this paper, the system which operates in multiple environments is studied. The environment process is governed by a Markov process, and the deterioration process is governed by another Markov process given the system in a certain environment. In terms of the above two processes, a new Markov process is constructed to represent the evolution of the system. In terms of Ion-channel modeling theory, Markov process theory and matrix partition method, some reliability indexes for the system are obtained, i.e., system reliability, environment reliability, system multiple-interval reliability, system availability, environment availability, system multiple-point availability, etc. Finally, a numerical example is given to illustrate the results obtained in the paper.

     

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