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Erschienen in:
Towards a Core Integrative Framework for Complex Engineering Service Systems Kapitel lesen Erstes Kapitel lesen

2011 | OriginalPaper | Buchkapitel

15. Modelling Techniques to Support the Adoption of Predictive Maintenance

verfasst von : Ken R. McNaught, Adam T. Zagorecki

Erschienen in: Complex Engineering Service Systems

Verlag: Springer London

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Abstract

Contracting for availability and contracting for capability are becoming increasingly common practices in the defence world. With these new service-oriented contracts, the responsibility for through-life support, including maintenance, has been shifted from the user to the service provider. In this new environment, innovative approaches to improving maintenance and reliability are necessary and create new, unique opportunities for value co-creation between stakeholders. This chapter focuses on investigating the applicability and implementation of an approach to predictive maintenance which combines prognostic modelling with Condition Based Maintenance (CBM) and its role in providing improved service provision for the repair and maintenance of complex systems. The role of prognostic modelling and Health and Usage Monitoring Systems as the emerging technologies that enable a value-oriented approach to maintenance are discussed. Bayesian networks are discussed as a modelling framework that is appropriate to capture uncertainties related to predictive maintenance. Special focus is placed on reviewing practical challenges and proposing solutions to them. The discussion is summarised in the form of a practitioner’s guide to implementing prognostic modelling and CBM.

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Vorheriges Kapitel Enabling Support Solutions in the Defence Environment
Nächstes Kapitel Component Level Replacements: Estimating Remaining Useful Life
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Metadaten
Titel
Modelling Techniques to Support the Adoption of Predictive Maintenance
verfasst von
Ken R. McNaught
Adam T. Zagorecki
Copyright-Jahr
2011
Verlag
Springer London
Buch
Complex Engineering Service Systems

Print ISBN: 978-0-85729-188-2

Electronic ISBN: 978-0-85729-189-9

Copyright-Jahr: 2011

DOI
https://doi.org/10.1007/978-0-85729-189-9_15

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