Search Results for author: Tianfu Li

Found 5 papers, 2 papers with code

A Novel Unsupervised Graph Wavelet Autoencoder for Mechanical System Fault Detection

no code implementations20 Jul 2023 Tianfu Li, Chuang Suna, Ruqiang Yan, Xuefeng Chen, Olga Fink

To overcome these limitations, we propose two graph neural network models: the graph wavelet autoencoder (GWAE), and the graph wavelet variational autoencoder (GWVAE).

Fault Detection

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

no code implementations4 Jul 2023 Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink

We validate the effectiveness of the proposed SFDANN method based on two fault diagnosis cases: one involving fault diagnosis of bearings in noisy environments and another involving fault diagnosis of slab tracks in a train-track-bridge coupling vibration system, where the transfer task involves transferring from numerical simulations to field measurements.

Unsupervised Domain Adaptation

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

3 code implementations6 Mar 2020 Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen

Second, we integrate the whole evaluation codes into a code library and release this code library to the public for better development of this field.

Few-Shot Learning Model Selection

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

1 code implementation12 Nov 2019 Tianfu Li, Zhibin Zhao, Chuang Sun, Li Cheng, Xuefeng Chen, Ruqiang Yan, Robert X. Gao

In this paper, a novel wavelet driven deep neural network termed as WaveletKernelNet (WKN) is presented, where a continuous wavelet convolutional (CWConv) layer is designed to replace the first convolutional layer of the standard CNN.

Management Translation

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