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Dependability modelling and sensitivity analysis of scheduled maintenance systems

Publication ,  Conference
Bondavalli, A; Mura, I; Trivedi, KS
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 1999
Published version (DOI)

In this paper we present a new modelling approach for dependability evaluation and sensitivity analysis of Scheduled Maintenance Systems, based on a Deterministic and Stochastic Petri Net approach. The DSPN approach offers significant advantages in terms of easiness and clearness of modelling with respect to the existing Markov chain based tools, drastically limiting the amount of user-assistance needed to define the model. At the same time, these improved modelling capabilities do not result in additional computational costs. Indeed, the evaluation of the DSPN model of SMS is supported by an efficient and fully automatable analytical solution technique for the time-dependent marking occupation probabilities. Moreover, the existence of such explicit analytical solution allows to obtain the sensitivity functions of the dependability measures with respect to the variation of the parameter values. These sensitivity functions can be conveniently employed to analytically evaluate the effects that parameter variations have on the measures of interest.

Duke Scholars

Kishor S. Trivedi
Author Kishor S. Trivedi Electrical and Computer Engineering

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/3-540-48254-7_2

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1999

Volume

1667 LNCS

Start / End Page

7 / 23

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Bondavalli, A., Mura, I., & Trivedi, K. S. (1999). Dependability modelling and sensitivity analysis of scheduled maintenance systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1667 LNCS, pp. 7–23). https://doi.org/10.1007/3-540-48254-7_2
Bondavalli, A., I. Mura, and K. S. Trivedi. “Dependability modelling and sensitivity analysis of scheduled maintenance systems.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1667 LNCS:7–23, 1999. https://doi.org/10.1007/3-540-48254-7_2.
Bondavalli A, Mura I, Trivedi KS. Dependability modelling and sensitivity analysis of scheduled maintenance systems. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 7–23.
Bondavalli, A., et al. “Dependability modelling and sensitivity analysis of scheduled maintenance systems.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1667 LNCS, 1999, pp. 7–23. Scopus, doi:10.1007/3-540-48254-7_2.
Bondavalli A, Mura I, Trivedi KS. Dependability modelling and sensitivity analysis of scheduled maintenance systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 7–23.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/3-540-48254-7_2

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1999

Volume

1667 LNCS

Start / End Page

7 / 23

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences