Reliability-Centered Maintenance: Analyzing Failure in Harvest Sugarcane Machine Using Some Generalizations of the Weibull Distribution
Author(s) -
Pedro Luiz Ramos,
Diego C. Nascimento,
Camila Cocolo,
Márcio José Nicola,
Carlos Alonso,
Luiz Gustavo Ribeiro,
André Ennes,
Francisco Louzada
Publication year - 2018
Publication title -
modelling and simulation in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 20
eISSN - 1687-5591
pISSN - 1687-5605
DOI - 10.1155/2018/1241856
Subject(s) - weibull distribution , reliability (semiconductor) , reliability engineering , scheduling (production processes) , preventive maintenance , predictive maintenance , maximum likelihood , engineering , statistics , computer science , mathematics , mathematical optimization , power (physics) , physics , quantum mechanics
In this study we considered five generalizations of the standard Weibull distribution to describe the lifetime of two important components of harvest sugarcane machines. The harvesters considered in the analysis does the harvest of 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 interesting for cost savings. For the considered distributions, the 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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom