3.8 Proceedings Paper

Overview of Remaining Useful Life Prediction Techniques in Through-Life Engineering Services

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.procir.2014.02.006

Keywords

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

Funding

  1. EPSRC [EP/I033246/1] Funding Source: UKRI

Ask authors/readers for more resources

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. (C) 2014 Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available