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Modeling of Age-Dependent Failure Tendency from Incomplete Data

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Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoEngineering Asset Management 2011
AlaotsikkoProceedings of the Sixth World Congress on Engineering Asset Management
ToimittajatJay Lee, Jun Ni, Jagnathan Sarangapani, Joseph Mathew
JulkaisupaikkaLondon
KustantajaSpringer-Verlag London Limited
Sivut449-459
Sivumäärä11
ISBN (painettu)978-1-4471-4993-4
DOI - pysyväislinkit
TilaJulkaistu - 2014
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaWorld Congress on Engineering Asset Management -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

NimiLecture Notes in Mechanical Engineering
ISSN (painettu)2195-4356

Conference

ConferenceWorld Congress on Engineering Asset Management
Ajanjakso1/01/00 → …

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.

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