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Modelling and Simulation in Engineering
Volume 2018, Article ID 1241856, 12 pages
Research Article

Reliability-Centered Maintenance: Analyzing Failure in Harvest Sugarcane Machine Using Some Generalizations of the Weibull Distribution

Institute of Mathematical and Computer Sciences, São Paulo University, São Carlos, SP, Brazil

Correspondence should be addressed to Pedro L. Ramos; rb.psu@somarlordep

Received 7 December 2017; Revised 22 January 2018; Accepted 14 February 2018; Published 1 April 2018

Academic Editor: Farouk Yalaoui

Copyright © 2018 Pedro L. Ramos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We considered five generalizations of the standard Weibull distribution to describe the lifetime of two important components of sugarcane harvesting machines. The harvesters considered in the analysis harvest an average of 20 tons of sugarcane per hour and their malfunction may lead to major losses; therefore, an effective maintenance approach is of main interest for cost savings. For the considered distributions, mathematical background is presented. Maximum likelihood is used for parameter estimation. Further, different discrimination procedures were used to obtain the best fit for each component. At the end, we propose a maintenance scheduling for the components of the harvesters using predictive analysis.