Fault prediction of aircraft engine based on adaptive hybrid sampling and BiLSTM

Fault prediction of aircraft engine based on adaptive hybrid sampling and BiLSTM

Abstract To address the class imbalance problem in aero-engine fault prediction, we propose a novel framework integrating adaptive hybrid sampling and bidirectional LSTM (BiLSTM). First, a k-means-based adaptive sampling strategy is proposed that dynamically balances datasets by oversampling minorit...

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Bibliographic Details
Main Authors: Junying Hu, Xu Jiang, Huan Xu, Ke Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Fault prediction
Aircraft engine
Bidirectional LSTM
Adaptive hybrid sampling
Online Access:https://doi.org/10.1038/s41598-025-98756-9
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https://doi.org/10.1038/s41598-025-98756-9

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