DocumentCode :
1636213
Title :
Reliability engineering approach to achieve RCM for mechanical systems — 2012
Author :
Wessels, William R.
Author_Institution :
UAHuntsville Res. Inst., Huntsville, AL, USA
fYear :
2012
Firstpage :
1
Lastpage :
7
Abstract :
The foundation for reliability-centered maintenance is the characterization of reliability failure models. Reliability is currently defined as the probability that a part will function without failure for designated mission durations under specified conditions of use. This paper proposes that reliability should be defined as the probability that a part will function without failure under risk characterized stress loads for specified operational and ambient conditions of use. Empirical reliability math modeling suggests that time does not cause part failure and therefore Time-to-Failure, TTF, based reliability math models are meaningless. Findings from current research in reliability math modeling show that failure mechanisms cause part failure, and that stress based reliability math models are meaningful. Reliability math models are fit from failure analysis and (1) characterize part failure condition indicators that allow implementation of condition-based maintenance, or (2) characterize part hazard functions that allow implementation of stress-directed maintenance.
Keywords :
failure (mechanical); maintenance engineering; mechanical engineering; reliability; RCM; TTF; Time-to-Failure; failure analysis; failure mechanisms; math models; mechanical systems; reliability engineering approach; reliability failure models; reliability math modeling; reliability-centered maintenance; stress loads; stress-directed maintenance; Data models; Failure analysis; Maintenance engineering; Probability density function; Reliability engineering; Stress; CBM; RCM; Reliability Failure Analysis; System Sustainability; TDM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual
Conference_Location :
Reno, NV
ISSN :
0149-144X
Print_ISBN :
978-1-4577-1849-6
Type :
conf
DOI :
10.1109/RAMS.2012.6175434
Filename :
6175434
Link To Document :
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