Title: Condition-based maintenance decision making : a practical approach for marine vessels
Authors : Goren Huber, Lilach
Kunz, Simon
Dettling, Marcel
Published in : International journal of COMADEM
Volume(Issue) : 21
Issue : 3
Pages : 15
Pages to: 20
Publisher / Ed. Institution : COMADEM International
Issue Date: 2018
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (publication)
Language : English
Subjects : Condition based maintenance; Decision making; Modelling and optimization; Degradation modelling; Uncertainty analysis
Subject (DDC) : 620: Engineering
Abstract: Condition monitoring and predictive maintenance are gaining importance amongst researchers and practitioners ... The reason lies in the lack of high quality monitoring data, largely due to the reluctance of system owners to invest in monitoring equipment and data processing. This leads to a vicious circle that limits the applicability of condition based maintenance. The need for simple yet effective schemes for data-driven maintenance optimization motivated the present research. This paper demonstrates the development of such a scheme for maintenance optimization of marine vessels based on the readily available data, thereby lowering the entry barrier for ship operators and promoting future improvements of the data quality. Our approach combines data-driven and physical modelling. It then uses the models as an input for a constrained optimization algorithm based on linear programming and a Monte-Carlo-based uncertainty analysis. The algorithm allows for a gradual enhancement of the data-driven component upon acquisition of more and better data.
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Publication type: Article in scientific journal
ISSN: 1363-7681
URI: https://apscience.org/comadem/index.php/comadem/article/view/93
Published as part of the ZHAW project : Energy Optimization for Vessel Operations
Appears in Collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.

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