An Approach for Remaining Useful Life Estimation Based on Combination of Multidimensional Information

DOI

10.2991/jimec-16.2016.5How to use a DOI?

Keywords

health management; remaining useful life; performance assessment; prognostics

Abstract

Previously, the traditional approaches for remaining useful life (RUL) prediction only use the one-dimensional information relating to the malfunction. In actually, it is very difficult to collect the information, and the accuracy is low. The RUL prediction is limited by previous reasons. Except for the traditional information relating to the malfunction, there are many kinds of information, such as operations, performance monitoring data and maintenance record, which can reflect the performance state and degenerative process. Obtaining and analyzing the multidimensional information in operating condition should be effective for modeling degeneration and the estimation of remaining useful life. This paper describes an approach for remaining useful life estimation based on combination of multidimensional information.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongju Yue
AU  - Yanling Qian
AU  - Long Wang
AU  - Zezhong Li
PY  - 2016/10
DA  - 2016/10
TI  - An Approach for Remaining Useful Life Estimation Based on Combination of Multidimensional Information
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 24
EP  - 28
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.5
DO  - 10.2991/jimec-16.2016.5
ID  - Yue2016/10
ER  -