PARAMETER ESTIMATION FOR WEIBULL DISTRIBUTION WITH RIGHT CENSORED DATA USING EM ALGORITHM

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Luis Andrade Ferreira (Author) FEUP; Josá Luís Silva (Author) Other

Journal

Title: Eksploatacja i Niezawodnosc

Vol. 19 No. 3

Pages: 310-315

ISSN: 1507-2711

Publisher: Polish Maintenance Society

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 12 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Mechanical engineering ; Technological sciences > Engineering > Industrial engineering

Other information

Authenticus ID: P-00M-M1S

DOI: 10.17531/ein.2017.2.20

Abstract (EN): The maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model for given data. This method allows us to estimate the unknown parameters of a statistical model. These parameters are obtained by maximizing the likelihood function of the model in question. In many practical situations the likelihood function is associated with complex models and the likelihood equation has no explicit analytical solution, it is only possible to have its resolution through numerical methods. The estimation of the parameters of the Weibull distribution by maximum-likelihood method based on information from a historical record with right censored data shows this difficulty. The solution presented in this article entails using the ExpectationMaximization (EM) algorithm. Actual data from the historical record of 5 centrifugal pumps failures of a petrochemical company were analyzed for application of the methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6