Using Time Series Foundation Models for Few-Shot Remaining Useful Life Prediction of Aircraft Engines

Predictive maintenance often involves imbalanced multivariate time series datasets with scarce failure events, posing challenges for model training due to the high dimensionality of the data and the need for domain-specific p... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.065461
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
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article

Using Time Series Foundation Models for Few-Shot Remaining Useful Life Prediction of Aircraft Engines

Ricardo Dintén, Marta Zorrilla
Computer Modeling in Engineering & Sciences
Advanced Measurement and Detection Methods
article

Using Time Series Foundation Models for Few-Shot Remaining Useful Life Prediction of Aircraft Engines

Ricardo Dintén, Marta Zorrilla
article en

Abstract

Predictive maintenance often involves imbalanced multivariate time series datasets with scarce failure events, posing challenges for model training due to the high dimensionality of the data and the need for domain-specific p... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 144(1)
Zero hunger, Responsible consumption and production
Openalex Percentile: Top 83%
Advanced Measurement and Detection Methods
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Using Time Series Foundation Models for Few-Shot Remaining Useful Life Prediction of Aircraft Engines — Ricardo Dintén, Marta Zorrilla · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS