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

被引:116
作者
Okoh, C. [1 ]
Roy, R. [1 ]
Mehnen, J. [1 ]
Redding, L. [1 ]
机构
[1] Cranfield Univ, Dept Mfg & Mat, EPSRC Ctr Innovat Mfg Through Life Engn Serv, Cranfield MK43 0AL, Beds, England
来源
PRODUCT SERVICES SYSTEMS AND VALUE CREATION: PROCEEDINGS OF THE 6TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS | 2014年 / 16卷
基金
英国工程与自然科学研究理事会;
关键词
Through-life engineering services; Remaining Useful Life; Prediction techniques; Prediction methodologies; Degradation mechanisms; MACHINE; MODEL;
D O I
10.1016/j.procir.2014.02.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:158 / 163
页数:6
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