Analyzing system reliability using non-regenerative stochastic petri nets

Y. Sugasawa, R. F. Vidale, Qun Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE Symposium on Emerging Technologies & Factory Automation
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages399-406
Number of pages8
Volume3
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3) - Paris, Fr
Duration: 1995 Oct 101995 Oct 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

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sugasawa, Y., Vidale, R. F., & Jin, Q. (1995). Analyzing system reliability using non-regenerative stochastic petri nets. In IEEE Symposium on Emerging Technologies & Factory Automation (Vol. 3, pp. 399-406). IEEE.