688 citations · 1.4k across the 5 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
eess.SP2023★ 2 cited
A Novel Unsupervised Graph Wavelet Autoencoder for Mechanical System Fault Detection
Tianfu Li, Chuang Sun, Ruqiang Yan +1
Reliable fault detection is an essential requirement for safe and efficient operation of complex mechanical systems in various industrial applications. Despite the abundance of exi…
eess.SP2023★ 3 cited
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai, Gaëtan Frusque, Tianfu Li +2
The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operationa…
eess.SP2023★ 95 cited
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Olga Fink +3
Intelligent fault diagnosis has been increasingly improved with the evolution of deep learning (DL) approaches. Recently, the emerging graph neural networks (GNNs) have also been i…