7 citations · 7 across the 2 of their papers we have counts for
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cs.LG2026
A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management
Xinhang Chen, Zhihuan Wei, Yang Hu +3
BACKGROUND: General aviation fleet expansion demands intelligent health monitoring under computational constraints. Real-world aircraft health diagnosis requires balancing accuracy…
cs.LG2025★ 7 cited
A domain adaptation neural network for digital twin-supported fault diagnosis
Zhenling Chen, Haiwei Fu, Zhiguo Zeng
Digital twins offer a promising solution to the lack of sufficient labeled data in deep learning-based fault diagnosis by generating simulated data for model training. However, dis…
cs.LG2024
Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data
Killian Mc Court, Xavier Mc Court, Shijia Du +1
Deep learning models have created great opportunities for data-driven fault diagnosis but they require large amount of labeled failure data for training. In this paper, we propose…