54 citations · 62 across the 4 of their papers we have counts for
4 papers
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…
LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
Zhihuan Wei, Xinhang Chen, Danyang Han +4
General aviation fault diagnosis and efficient maintenance are critical to flight safety; however, deploying deep learning models on resource-constrained edge devices poses dual ch…
Neural Architecture Search For Fault Diagnosis
Xudong Li, Yang Hu, Jianhua Zheng +1
Data-driven methods have made great progress in fault diagnosis, especially deep learning method. Deep learning is suitable for processing big data, and has a strong feature extrac…
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals
Gabriel Michau, Yang Hu, Thomas Palmé +1
Complex industrial systems are continuously monitored by a large number of heterogeneous sensors. The diversity of their operating conditions and the possible fault types make it i…