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1 – 1 of 1Edilson M. Assis, Celso Luiz Santiago Figueirôa Filho, Gabriel Costa Lima, Gisele Maria de Oliveira Salles and Ailton Pinto
The purpose of this article is to compare maintenance policies based on Weibull and q-Weibull models.
Abstract
Purpose
The purpose of this article is to compare maintenance policies based on Weibull and q-Weibull models.
Design/methodology/approach
This paper uses analytical developments, several figures and tables for graphical and numerical comparison. Previously published hydropower equipment data are used as examples.
Findings
Models for optimal maintenance interval determination based on q-Weibull distribution were defined. Closed-form expressions were found, and this allows the application of the method with small computational effort.
Practical implications
The use of the q-Weibull model to guide the definition of maintenance strategy allows decision-making to be more consistent with sample data. The flexibility of the q-Weibull model is able to produce failure rate modeling with five different formats: decreasing, constant, increasing, unimodal and U-shaped. In this way, the maintenance strategies resulting from this model should be more assertive.
Originality/value
Expressions for determining the optimal interval of preventive maintenance were deduced from q-Weibull distribution. Expected costs per maintenance cycle of Brazilian hydropower equipment were calculated with q-Weibull and Weibull distributions. These results were compared in terms of absolute values and trends. Although a large number of works on corrective and preventive maintenance have been proposed, no applications of the q-Weibull distribution were found in literature.
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