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IEC 61710-ed.2.0
Power law model - Goodness-of-fit tests and estimation methods
STANDARD published on 22.5.2013
The information about the standard:
Designation standards: IEC 61710-ed.2.0
Publication date standards: 22.5.2013
SKU: NS-413550
The number of pages: 113
Approximate weight : 370 g (0.82 lbs)
Country: International technical standard
Category: Technical standards IEC
The category - similar standards:
Annotation of standard text IEC 61710-ed.2.0 :
IEC 61710:2013 specifies procedures to estimate the parameters of the power law model, to provide confidence intervals for the failure intensity, to provide prediction intervals for the times to future failures, and to test the goodness-of-fit of the power law model to data from repairable items. It is assumed that the time to failure data have been collected from an item, or some identical items operating under the same conditions (e.g. environment and load). This second edition cancels and replaces the first edition, published in 2000, and constitutes a technical revision. The main changes with respect to the previous edition are listed below: the inclusion of an additional Annex C on Bayesian estimation for the power law model. Keywords: power law model, Bayesian estimation, reliability of repairable items La CEI 61710:2013 specifie les procedures pour lestimation des parametres du modele de loi en puissance en fournissant les intervalles de confiance pour lintensite de defaillance, les intervalles de prediction pour les defaillances futures et pour determiner ladequation du modele de loi en puissance avec les donnees relatives aux entites reparables. Lhypothese prise est que les donnees de durees avant defaillance ont ete collectees a partir dune ou de plusieurs entites identiques fonctionnant dans les memes conditions (par exemple denvironnement et de charge). Cette deuxieme edition annule et remplace la premiere edition parue en 2000. Cette edition constitue une revision technique. Les modifications principales par rapport a ledition precedente sont les suivantes: Introduction dune Annexe supplementaire C traitant de lestimation bayesienne pour le modele de loi en puissance. Mots cles: modele de loi en puissance, lestimation bayesienne, fiabilite des entites reparables
