Few-shot remaining useful life prediction based on meta-learning with deep sparse kernel network

DOI10.1016/J.INS.2023.119795OpenAlexW4387824334MaRDI QIDQ6068671

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Publication date: 13 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.119795

zbMATH Keywords

Gaussian processprognostics and health managementmeta-learningremaining useful life predictionfew-shot

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines

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