Accelerated failure time models for reliability data analysis

Newby, Martin

doi:10.1016/0951-8320(88)90114-7

Cited by 33 publications

(14 citation statements)

References 9 publications

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“…A detailed treatment of estimation and interpretation for su eh models can be found in Newby & Winterton (1983) and Newby (1985Newby ( , 1988.…”

Section: Acceleratcd Failure Timementioning

confidence: 99%

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A critical look at some point-process models for repairable systems

Newby

1992

IMA J Management Math

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“…A detailed treatment of estimation and interpretation for su eh models can be found in Newby & Winterton (1983) and Newby (1985Newby ( , 1988.…”

Section: Acceleratcd Failure Timementioning

confidence: 99%

“…The likelihoods for these models are not much more complicated than those for the two-parameter modeIs, although care has to be taken with the estimation of location parameters (Newby 1988;Smith & Naylor 1987). Generally a grouped likelihood performs better than the Iikelihood itself (Cheng & Amin 1983;Cheng & lies 1987).…”

Section: Acceleratcd Failure Timementioning

confidence: 99%

A critical look at some point-process models for repairable systems

Newby

1992

IMA J Management Math

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“…TTF for an automobile crankshaft under loading condition would occur randomly over a given period of time [29,30] and is modelled through the three parameter Weibull, Lognormal and Gaussian TTF parametric distribution function:…”

Section: Fundamental Formulation For Reliabilitymentioning

confidence: 99%

Reliability analysis and prediction for time to failure distribution of an automobile crankshaft

Singh

Abdullah

Mohamed

2015

EiN

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“…The Accelerated Failure Time Model (AFTM) is one of the most common approaches used in obtaining reliability and failure rate estimates of devices and components in a much shorter time [47,[60][61][62]. AFTM is to assume that the log lifetime = log( ), given applied stress vector , has a distribution with a location parameter ( ) and a constant scale parameter .…”

Section: Accelerated Failure Time Modelmentioning

confidence: 99%

“…AFTM is to assume that the log lifetime = log( ), given applied stress vector , has a distribution with a location parameter ( ) and a constant scale parameter . AFTM can be expressed as [47,62]:…”

Section: Accelerated Failure Time Modelmentioning

confidence: 99%

A review on reliability models with covariates

Gorjian

Mittinty

et al. 2010

Engineering Asset Lifecycle Management

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Modern Engineering Asset Management (EAM) requires the accurate assessment of current and the prediction of future asset health condition. Suitable mathematical models that are capable of predicting Time-to-Failure (TTF) and the probability of failure in future time are essential. In traditional reliability models, the lifetime of assets is estimated using failure time data. However, in most real-life situations and industry applications, the lifetime of assets is influenced by different risk factors, which are called covariates. The fundamental notion in reliability theory is the failure time of a system and its covariates. These covariates change stochastically and may influence and/or indicate the failure time. Research shows that many statistical models have been developed to estimate the hazard of assets or individuals with covariates. An extensive amount of literature on hazard models with covariates (also termed covariate models), including theory and practical applications, has emerged. This paper is a state-of-the-art review of the existing literature on these covariate models in both the reliability and biomedical fields. One of the major purposes of this expository paper is to synthesise these models from both industrial reliability and biomedical fields and then contextually group them into non-parametric and semiparametric models. Comments on their merits and limitations are also presented. Another main purpose of this paper is to comprehensively review and summarise the current research on the development of the covariate models so as to facilitate the application of more covariate modelling techniques into prognostics and asset health management.

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Accelerated failure time models for reliability data analysis

Cited by 33 publications

References 9 publications

A critical look at some point-process models for repairable systems

A critical look at some point-process models for repairable systems

Reliability analysis and prediction for time to failure distribution of an automobile crankshaft

A review on reliability models with covariates

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