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Reliability and Availability Assessment

Publication ,  Conference
Trivedi, K
Published in: IEEE Transactions on Reliability
March 1, 2024

Given heavy dependence on man-made systems in our daily lives, reliability and availability of these systems clearly gain great importance. Together with methods of enhancing reliability and availability of systems, methods of quantitative assessment of these attributes thus needs attention. Quantification of these attributes via analytic-numeric solution of a probability model based on a deep understanding of system's failure/repair dynamics is briefly discussed in this article.

Duke Scholars

Published In

IEEE Transactions on Reliability

DOI

EISSN

1558-1721

ISSN

0018-9529

Publication Date

March 1, 2024

Volume

73

Issue

1

Start / End Page

17 / 18

Related Subject Headings

  • Operations Research
  • 4612 Software engineering
  • 4010 Engineering practice and education
  • 0906 Electrical and Electronic Engineering
  • 0803 Computer Software
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Trivedi, K. (2024). Reliability and Availability Assessment. In IEEE Transactions on Reliability (Vol. 73, pp. 17–18). https://doi.org/10.1109/TR.2023.3330776
Trivedi, K. “Reliability and Availability Assessment.” In IEEE Transactions on Reliability, 73:17–18, 2024. https://doi.org/10.1109/TR.2023.3330776.
Trivedi K. Reliability and Availability Assessment. In: IEEE Transactions on Reliability. 2024. p. 17–8.
Trivedi, K. “Reliability and Availability Assessment.” IEEE Transactions on Reliability, vol. 73, no. 1, 2024, pp. 17–18. Scopus, doi:10.1109/TR.2023.3330776.
Trivedi K. Reliability and Availability Assessment. IEEE Transactions on Reliability. 2024. p. 17–18.

Published In

IEEE Transactions on Reliability

DOI

EISSN

1558-1721

ISSN

0018-9529

Publication Date

March 1, 2024

Volume

73

Issue

1

Start / End Page

17 / 18

Related Subject Headings

  • Operations Research
  • 4612 Software engineering
  • 4010 Engineering practice and education
  • 0906 Electrical and Electronic Engineering
  • 0803 Computer Software