What is it about?
Predictive Maintenance (PM) is one of the most studied field of research in Prognostic and Healt Management (PHM) field. A system can usually work under different operating conditions (OCs). In literature this detail is often labelled as noise. In this paper, it is shown how OC can be a key aspect to better predict the Residual Useful Life of a Turbofan Engine. The metodology is tested with CMAPSS data.
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Why is it important?
In literature the concept of OC is often considered as negative aspect of data. But this work shows how is possible to have a personalized prediction of the system in function of this feature.
Perspectives
Writing this article was a great pleasure because it has co-authors with whom I have had long-standing collaborations. This paper has opened a new path of research: showing how the concept of operating condition can be considered an asset, and not of simple noise.
Ciro Nespolino
University of Campania L. Vanvitelli
Read the Original
This page is a summary of: An Operation-Aware Ensemble Methodology for Remaining Useful Life Estimation, November 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3649601.3698756.
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