Analysis of the two-unit cold standby repairable system with damage and repair time dependency via matrix-exponential distributions. Issue 6 (2nd November 2021)
- Record Type:
- Journal Article
- Title:
- Analysis of the two-unit cold standby repairable system with damage and repair time dependency via matrix-exponential distributions. Issue 6 (2nd November 2021)
- Main Title:
- Analysis of the two-unit cold standby repairable system with damage and repair time dependency via matrix-exponential distributions
- Authors:
- Kus, Coskun
Eryilmaz, Serkan - Abstract:
- ABSTRACT: In this paper, two-unit standby repairable system is studied via matrix-exponential distributions. The system under concern consists of one active and one standby components, and fails if either a damage size upon the failure of the active component is larger than a repair limit or the repair time of the failed unit exceeds the lifetime of the active unit, whichever happens first. Under the assumption that the damage size and repair time are statistically dependent, the Laplace transform of the system's lifetime is obtained. The Laplace transform is shown to be rational under particular cases, and the reliability evaluation of the system is performed via well-known distributional properties of the matrix-exponential distributions. The problem of estimating the unknown parameters of the operation time and repair time distributions is also discussed based on system's lifetime data.
- Is Part Of:
- Quality technology & quantitative management. Volume 18:Issue 6(2021)
- Journal:
- Quality technology & quantitative management
- Issue:
- Volume 18:Issue 6(2021)
- Issue Display:
- Volume 18, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 6
- Issue Sort Value:
- 2021-0018-0006-0000
- Page Start:
- 771
- Page End:
- 786
- Publication Date:
- 2021-11-02
- Subjects:
- Matrix-exponential distribution -- moment estimator -- maximum likelihood estimator -- reliability -- repairable system
Quality control -- Periodicals
Quality control -- Statistical methods -- Periodicals
Industrial management -- Periodicals
Industrial management
Management -- Research -- Methodology -- Periodicals
Qualitative research -- Periodicals
Management
Quality control
Quality control -- Statistical methods
Periodicals
658.00721 - Journal URLs:
- http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=109045 ↗
http://ezproxy.canterbury.ac.nz/login?url=http://www.tandfonline.com/openurl?genre=journal&stitle=ttqm20 ↗
http://www.tandfonline.com/openurl?genre=journal&stitle=ttqm20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/16843703.2021.1963089 ↗
- Languages:
- English
- ISSNs:
- 1684-3703
- Deposit Type:
- Legaldeposit
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