Please use this identifier to cite or link to this item:

Title: Frailty Models for Survival Data applied to Maintenance Management
Authors: Madeira, Sílvia
Infante, Paulo
Didelet, Filipe
Editors: Sinha, Jyoti K.
Didelet, Filipe
Keywords: reliability
time between failures
Cox proportional hazards
fraitly models
Issue Date: 2018
Publisher: University of Coimbra
Citation: Madeira, S.; infante, P.; Didelet, F. (2018). Frailty Models for Survival Data applied to Maintenance Management. Proceedings of 3rd International Conference on Maintenance Engineering IncoME-III (Ed. Sinha, J. K. and Didelet, F.), p. 196-210, ISBN 978-989-8200-17-4.
Abstract: Due to large number of equipment in industrial companies, maintenance management may not always be able to identify and quantify assets heterogeneity concerning failure data. Several statistical and mathematical methods are being developed in the last years looking for an improvement on the system reliability. We’ve been working on survival analysis applied to equipment failure data using Cox proportional hazards, however, we notice that individualization with respect to the risk must be considered. Frailty models allowed us to identify equipment not following patterns of identical distributed times to failure. Although there exist some controversy around frailty models, claiming its poor contribution to the model, the truth is that when clustering our equipment by its id with a non-observed frailty component, we quickly identify those with higher influence on the hazard. This is particularly useful whether the intention is to find a homogeneous sample or work with all samples considering frailty component, contributing either way, to an enhanced and adaptive maintenance management.
ISBN: 978-989-8200-17-4
Type: article
Appears in Collections:MAT - Artigos em Livros de Actas/Proceedings
CIMA - Artigos em Livros de Actas/Proceedings

Files in This Item:

File Description SizeFormat
IncoMEIII2018.pdf1.08 MBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois