Title :
Reliability assessment framework for repairable system
Author :
Muhammad, Muhammad ; Mokhtar, A.A. ; Hussin, Husnayati
Author_Institution :
Mech. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
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.
Keywords :
data analysis; decision making; maintenance engineering; reliability; GRP; data analysis approach; decision tools; failure trending; generalized renewal process; maintenance strategy; reliability assessment framework; reliability prediction models; repairable system; system reliability assessment; Analytical models; Data models; Maintenance engineering; Market research; Reliability engineering; Standards; Repairable system; generalized renewal process; reliability prediction;
Conference_Titel :
Business, Engineering and Industrial Applications (ISBEIA), 2012 IEEE Symposium on
Conference_Location :
Bandung
Print_ISBN :
978-1-4577-1632-4
DOI :
10.1109/ISBEIA.2012.6422948
