@inproceedings{d0dcdc0a3ba94ada9d79c95a52767f67,
title = "Evaluation of remain useful life prediction models from a resilience perspective",
abstract = "The remaining useful life of components is crucial in maintenance planning. However, it is difficult to determine whether or not a model is reliable and trustworthy. There is no clear instruction about how to evaluate a remaining useful life prediction model since the output results are not displayed in the physical system. Furthermore, the models may generate an inaccurate prediction due to missing or outlier data. The idea of resilience is presented to evaluate the performance of the remaining useful life prediction model in order to increase model dependability and robustness. This study offers a definition for the resiliency of remaining useful life prediction models. The study then provides methods for evaluating the models used for the remaining useful life prediction. The work could serve as a springboard for further research into topics such as resilience and life prediction models.",
keywords = "Resilience, maintenance, remaining useful life prediction",
author = "Jie Liu and Yiliu Liu and Shen Yin and J{\o}rn Vatn",
note = "Publisher Copyright: {\textcopyright} 2022 ESREL2022 Organizers. Published by Research Publishing, Singapore.; 32nd European Safety and Reliability Conference, ESREL 2022 ; Conference date: 28-08-2022 Through 01-09-2022",
year = "2022",
doi = "10.3850/978-981-18-5183-4\_S20-02-184-cd",
language = "英语",
isbn = "9789811851834",
series = "Proceedings of the 32nd European Safety and Reliability Conference, ESREL 2022 - Understanding and Managing Risk and Reliability for a Sustainable Future",
publisher = "Research Publishing",
pages = "2734--2740",
editor = "Leva, \{Maria Chiara\} and Edoardo Patelli and Luca Podofillini and Simon Wilson",
booktitle = "Proceedings of the 32nd European Safety and Reliability Conference, ESREL 2022 - Understanding and Managing Risk and Reliability for a Sustainable Future",
}