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Author

Yong-Jian Zhang

2 papers indexed here

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Open access Sep 2026

A Physics-Guided Spatio-Temporal Attention Graph Network for Unsupervised Aircraft Engine Anomaly Detection

For unsupervised anomaly detection in aircraft engines, traditional methods predominantly focus on mining temporal features, often neglecting complex interdependencies among multiple variables. Although existing graph neural networks can model spatial relationships, their purely data-driven graph construction tends to...

Shao-Kai Yan, Yong-Jian Zhang, Xiang-Yu Gong · 0 citations
Aug 2026

Dual-TCN-GRU: A Dual Path Temporal Convolutional Network with GRU Fusion for Aero-Engine Fault Detection

Conventional aero-engine fault detection techniques tend to have problems simultaneously extracting local anomalies in sensor data and long-term temporal dependencies. To solve this problem, we propose a new fault detection scheme that only uses a Dual-Path Temporal Convolutional Network (Dual-TCN) and a Gated Recurren...

Shao-Kai Yan, Yong-Jian Zhang · 0 citations

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