133 citations · 200 across the 10 of their papers we have counts for
4 papers · 1 filter
Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers
Chi-Ching Hsu, Gaëtan Frusque, Florent Forest +3
Commercial high-voltage circuit breaker (CB) condition monitoring systems rely on directly observable physical parameters such as gas filling pressure with pre-defined thresholds.…
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
Gaëtan Frusque, Ismail Nejjar, Majid Nabavi +1
The Health Index (HI) is crucial for evaluating system health and is important for tasks like anomaly detection and Remaining Useful Life (RUL) prediction of safety-critical system…
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
Hao Dong, Gaëtan Frusque, Yue Zhao +2
Anomaly detection (AD) is essential in identifying rare and often critical events in complex systems, finding applications in fields such as network intrusion detection, financial…
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
Gabriel Michau, Gaetan Frusque, Olga Fink
High-Frequency (HF) signals are ubiquitous in the industrial world and are of great use for monitoring of industrial assets. Most deep learning tools are designed for inputs of fix…