Journal ArticleDOI
Weibull model selection for reliability modelling
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TLDR
The WPP and IWPP plot allows one to determine in a systematic manner if one or more of these Weibull models are suitable for modelling a given data set.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2004-12-01. It has received 119 citations till now. The article focuses on the topics: Exponentiated Weibull distribution & Weibull distribution.read more
Citations
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A flexible Weibull extension
TL;DR: A new two-parameter ageing distribution which is a generalization of the Weibull and able to model various ageing classes of life distributions including IFR, IFRA and modified bathtub (MBT), which provides an alternative to many existing life distributions.
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Big data analytics in smart grids: a review
TL;DR: The characterizations of big data, smart grids as well as huge amount of data collection are discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids.
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Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation
TL;DR: A three-parameter Weibull failure rate function is discussed for wind turbines and the parameters are estimated by maximum likelihood and least squares and shown to obtain more accuracy on reliability growth of wind turbines.
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Modifications of the Weibull distribution: A review
TL;DR: An extensive review of some discrete and continuous versions of the modifications of the Weibull distribution to allow for non-monotonic hazard functions.
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An alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distribution
TL;DR: In this paper, the Inverse Weibull (IW) distribution is used to model the wind speed and modified maximum likelihood (MML) estimators of the parameters of IW distribution are obtained.
References
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Journal ArticleDOI
The Statistical Analysis of Failure Time Data.
Journal ArticleDOI
A Statistical Distribution Function of Wide Applicability
TL;DR: In this article, the applicability of statistics to a wide field of problems is discussed, and examples of simple and complex distributions are given, as well as a discussion of the application of statistics in a wide range of problems.
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The Statistical Analysis of Failure Time Data
TL;DR: This book complements the other references well, and merits a place on the bookshelf of anyone concerned with the analysis of lifetime data from any eld.
Book
Statistical Models and Methods for Lifetime Data
TL;DR: Inference procedures for Log-Location-Scale Distributions as discussed by the authors have been used for estimating likelihood and estimating function methods. But they have not yet been applied to the estimation of likelihood.
Journal ArticleDOI
Statistical Models and Methods for Lifetime Data
TL;DR: This book describes and illustrates how to compute a simple “naive” variance estimate and con dence intervals that would be correct under the assumption of an underlying nonhomogeneous Poisson process model.