EconPapers    
Economics at your fingertips  
 

Construction of optimal reliability test plans for multi-state coherent systems of type 1

Leena Kulkarni and Sanjeev Sabnis

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 24, 6080-6097

Abstract: This research article deals with construction of system based optimal reliability test plans for Multi-state Coherent Systems (MCSs) of Type 1 having (M+1) states. The development of optimal reliability test plans for the MCS of Type 1 is based on the framework of multivariate counting process and a simple version of the multivariate central limit theorem. It may be noted that four reliability test plans using four combinations of two theoretical decision rules (TDR1, TDR2) and two data based decision rules (DDR1, DDR2), taken one from each category, have been proposed in this paper. Each of these test plans is demonstrated for M=2 and for a Farlie-Gumbel-Morgenstern (F-G-M) distribution using (i) a multi-state coherent series system, (ii) a multi-state coherent parallel system, each MCS consisting of two components, and (iii) a combination of series and parallel multi-state coherent system consisting of three components. The reliability test plan constructed using (TDR2, DDR2) combination turns out to be more economical than those constructed using (TDR1, DDR1), (TDR1, DDR2) and (TDR2, DDR1) decision rules.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1528366 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:48:y:2019:i:24:p:6080-6097

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2018.1528366

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:48:y:2019:i:24:p:6080-6097