Analyzing system reliability using non-regenerative stochastic petri nets

Y. Sugasawa*, R. F. Vidale, Q. Jin

*この研究の対応する著者

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

A Non-Generative Stochastic Petri Net (NRSPN) is developed by defining its marking process in terms of a general state space of a Markov Renewal Process (MRP) and introducing new notations for the NRSPN. In order to analyze probabilistic properties of reliable systems, a unique modification of the conventional MRP, in which all states are regeneration points, is made. The NRSPN model allows firing times with arbitrary distribution; thus it can model and analyze system states that include some non-generative points. Moreover, the probabilistic behavior of a system can be clarified with the numerical measures of the first-passage time distributions, the renewal function, and the transition probabilities.

本文言語English
ページ399-406
ページ数8
出版ステータスPublished - 1995 12 1
外部発表はい
イベントProceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3) - Paris, Fr
継続期間: 1995 10 101995 10 13

Other

OtherProceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3)
CityParis, Fr
Period95/10/1095/10/13

ASJC Scopus subject areas

  • 工学(全般)

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