Metrics for Evaluating Performance of Prognostics Techniques (2008)
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| Venue: | in International Conference on Prognostics and Health Management (PHM08 |
| Citations: | 25 - 13 self |
BibTeX
@INPROCEEDINGS{Saxena08metricsfor,
author = {Abhinav Saxena and Jose Celaya and Edward Balaban and Kai Goebel and Bhaskar Saha and Sankalita Saha and Mark Schwabacher},
title = {Metrics for Evaluating Performance of Prognostics Techniques},
booktitle = {in International Conference on Prognostics and Health Management (PHM08},
year = {2008}
}
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Abstract
Abstract—Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the technology calls for fielded applications as it inches towards maturation. This requires a stringent performance evaluation so that the significance of the concept can be fully exploited. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. This lack of standards is in part due to the varied end-user requirements for different applications, time scales, available information, domain dynamics, etc. to name a few issues. Instead, the research community has used a variety of metrics based largely on convenience with respect to their respective requirements. Very little attention has been focused on establishing a common
Keyphrases
prognostic technique towards maturation inconsistent interpretation lack standard definition stringent performance evaluation time scale available information critical system useful life different application varied end-user requirement fielded application respective requirement domain dynamic research community little attention abstract prognostic
