@inproceedings{scholars2523,
           pages = {553--557},
           title = {Reliability assessment framework for repairable system},
         address = {Bandung},
         journal = {ISBEIA 2012 - IEEE Symposium on Business, Engineering and Industrial Applications},
             doi = {10.1109/ISBEIA.2012.6422948},
            year = {2012},
            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},
        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},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874388111&doi=10.1109\%2fISBEIA.2012.6422948&partnerID=40&md5=c60ad55f3452d66c420ac9f6edcf82d7},
        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 {\^A}{\copyright} 2012 IEEE.},
          author = {Muhammad, M. and Mokhtar, A. A. and Hussin, H.},
            isbn = {9781457716348}
}