eprintid: 2523
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/25/23
datestamp: 2023-11-09 15:50:45
lastmod: 2023-11-09 15:50:45
status_changed: 2023-11-09 15:43:43
type: conference_item
metadata_visibility: show
creators_name: Muhammad, M.
creators_name: Mokhtar, A.A.
creators_name: Hussin, H.
title: Reliability assessment framework for repairable system
ispublished: pub
keywords: Decision tool; Life Data Analysis; Maintenance strategies; Model-based OPC; Reliability assessments; Reliability model; Reliability prediction; Renewal process; Repairable systems; System failures; System reliability, Industrial applications, Reliability analysis
note: cited By 0; Conference of IEEE Symposium on Business, Engineering and Industrial Applications, ISBELA 2012 ; Conference Date: 23 September 2012 Through 26 September 2012; Conference Code:95695
abstract: System reliability assessment serves as one of the decision tools in selecting the right maintenance strategy. However, selecting the right reliability model can be a formidable task given the vast number of available reliability prediction models This paper presents a framework of selecting the right model based on system failure data with special emphasis on generalized renewal process (GRP) for system that exhibits failure trending The results indicate a better fit for the data with GRP compared with life data analysis approach. Copyright © 2012 IEEE.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874388111&doi=10.1109%2fISBEIA.2012.6422948&partnerID=40&md5=c60ad55f3452d66c420ac9f6edcf82d7
id_number: 10.1109/ISBEIA.2012.6422948
full_text_status: none
publication: ISBEIA 2012 - IEEE Symposium on Business, Engineering and Industrial Applications
place_of_pub: Bandung
pagerange: 553-557
refereed: TRUE
isbn: 9781457716348
citation:   Muhammad, M. and Mokhtar, A.A. and Hussin, H.  (2012) Reliability assessment framework for repairable system.  In: UNSPECIFIED.