Modeling of Age-Dependent Failure Tendency from Incomplete Data
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | Engineering Asset Management 2011 |
| Alaotsikko | Proceedings of the Sixth World Congress on Engineering Asset Management |
| Toimittajat | Jay Lee, Jun Ni, Jagnathan Sarangapani, Joseph Mathew |
| Julkaisupaikka | London |
| Kustantaja | Springer-Verlag London Limited |
| Sivut | 449-459 |
| Sivumäärä | 11 |
| ISBN (painettu) | 978-1-4471-4993-4 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2014 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | World Congress on Engineering Asset Management - Kesto: 1 tammikuuta 1900 → … |
Julkaisusarja
| Nimi | Lecture Notes in Mechanical Engineering |
|---|---|
| ISSN (painettu) | 2195-4356 |
Conference
| Conference | World Congress on Engineering Asset Management |
|---|---|
| Ajanjakso | 1/01/00 → … |
Tiivistelmä
This paper addresses modeling of age-dependent failure rates from incomplete data that includes interval-censored failure ages. Two estimators for cumulative failure rates are presented: a simple non-parametric estimator and a maximum-likelihood method based on the gamma distribution and the non-homogeneous Poisson process. The maximum-likelihood fit of familiar parametric models (e.g., the power law) to the available field data from an aircraft component was far from satisfactory, so a special three-parameter model function had to be worked out. The maximum-likelihood estimate obtained is then used for repeated random generation of different data sets akin to the field data. This way the effect of data set size, censoring rate, and randomness on the non-parametric estimate can be analyzed to get practical appraisals.