Overview of Remaining Useful Life prediction techniques in Through-life Engineering Services

Date

2014-06-30

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Publisher

Elsevier

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Type

Conference paper

ISSN

2212-8271
http://dx.doi.org/10.1016/j.procir.2014.02.006

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Citation

C. Okoh, R. Roy, J. Mehnen, L. Redding. Overview of Remaining Useful Life prediction techniques in Through-life Engineering Services. Procedia CIRP, Volume 16, 2014, Pages 158-163. Product Services Systems and Value Creation. Proceedings of the 6th CIRP Conference on Industrial Product-Service Systems.

Abstract

Through-life Engineering Services (TES) are essential in the manufacture and servicing of complex engineering products. TES improves support services by providing prognosis of run-to-failure and time-to-failure on-demand data for better decision making. The concept of Remaining Useful Life (RUL) is utilised to predict life-span of components (of a service system) with the purpose of minimising catastrophic failure events in both manufacturing and service sectors. The purpose of this paper is to identify failure mechanisms and emphasise the failure events prediction approaches that can effectively reduce uncertainties. It will demonstrate the classification of techniques used in RUL prediction for optimisation of products’ future use based on current products in-service with regards to predictability, availability and reliability. It presents a mapping of degradation mechanisms against techniques for knowledge acquisition with the objective of presenting to designers and manufacturers ways to improve the life-span of components.

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Software Description

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Github

Keywords

Through-life engineering services, Remaining Useful Life, Prediction techniques, Prediction methodologies, Degradation mechanisms

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Attribution-Non-Commercial-No Derivatives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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