Renewal and Renewal-Intensity Functions with Minimal Repair. (19th March 2014)
- Record Type:
- Journal Article
- Title:
- Renewal and Renewal-Intensity Functions with Minimal Repair. (19th March 2014)
- Main Title:
- Renewal and Renewal-Intensity Functions with Minimal Repair
- Authors:
- Maghsoodloo, Saeed
Helvaci, Dilcu - Other Names:
- Chiodo Elio Academic Editor.
- Abstract:
- Abstract : The renewal and renewal-intensity functions with minimal repair are explored for the Normal, Gamma, Uniform, and Weibull underlying lifetime distributions. The Normal, Gamma, and Uniform renewal, and renewal-intensity functions are derived by the convolution method. Unlike these last three failure distributions, the Weibull except at shapeβ = 1 does not have a closed-form function for the n -fold convolution. Since the Weibull is the most important failure distribution in reliability analyses, the approximate renewal and renewal-intensity functions of Weibull were obtained by the time-discretizing method using the Mean-Value Theorem for Integrals . A Matlab program outputs all reliability and renewal measures.
- Is Part Of:
- Journal of quality and reliability engineering. Volume 2014(2014)
- Journal:
- Journal of quality and reliability engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-03-19
- Subjects:
- Reliability (Engineering) -- Periodicals
Engineering -- Quality control -- Periodicals
Failure analysis (Engineering) -- Periodicals
Engineering -- Quality control
Failure analysis (Engineering)
Reliability (Engineering)
Electronic journals
Periodicals
620.0045 - Journal URLs:
- https://www.hindawi.com/journals/jqre/ ↗
- DOI:
- 10.1155/2014/857437 ↗
- Languages:
- English
- ISSNs:
- 2314-8055
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10832.xml