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Computer-aided reliability analysis of mechanical systems ; some comments on estimation errors
| Content Provider | Semantic Scholar |
|---|---|
| Author | Basile, Olivier Dehombreux, Pierre Filippi, Enrico |
| Copyright Year | 2003 |
| Abstract | Reliability is defined as the probability that a system will perform properly for a specific period of time under a given set of operating conditions. Particularly, we focus our research on reliability of mechanical equipment and accurate prediction of Mean Up Time (MUT) of the system. As this problem is quite difficult to solve analytically, two MATLAB libraries were developed : Reliabilitix and Simulatrix, based on numerical analysis of a block diagram description. Generally, reliability distributions are estimated from data failures. That is why this article presents and compares two methods frequently used : the regression method derived from graphical estimation and the maximum likelihood estimator method. Next, we will discuss on sample dimension and errors committed with small set of failure times. Finally, this article points out that statistical models do not fit perfectly all the reliability distributions of systems, that is another source of errors. Keywords—Mechanical Reliability, Maintenance, Reliability Estimation Errors, Maximum Likelihood Estimator |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.geniemeca.fpms.ac.be/Recherche/Articles/basi2003a.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
