7 citations · 7 across the 2 of their papers we have counts for
4 papers
FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model
Zaynab Raounak, Camille LHermine, Zhiguo Zeng
Deep learning predictive maintenance models suffer from poor transferability across machines and operating conditions, especially when labelled data are scarce and signals span fiv…
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…
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…
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…