Прати
Feiyu Lu
Feiyu Lu
School of Electrical Engineering, Beijing Jiaotong University
Верификована је имејл адреса на bjtu.edu.cn - Почетна страница
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Година
Unbalanced bearing fault diagnosis under various speeds based on spectrum alignment and deep transfer convolution neural network
F Lu, Q Tong, Z Feng, Q Wan
IEEE Transactions on Industrial Informatics 19 (7), 8295-8306, 2022
422022
Towards multi-scene learning: a novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU
F Lu, Q Tong, J Xu, Z Feng, X Wang, J Huo, Q Wan
Advanced Engineering Informatics 60, 102536, 2024
242024
A novel method for fault diagnosis of bearings with small and imbalanced data based on generative adversarial networks
Q Tong, F Lu, Z Feng, Q Wan, G An, J Cao, T Guo
Applied Sciences 12 (14), 7346, 2022
222022
Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions
F Lu, Q Tong, Z Feng, Q Wan, Y Li, M Wang, J Cao, T Guo
Measurement Science and Technology 33 (9), 095022, 2022
212022
A parameter-adaptive ACMD method based on particle swarm optimization algorithm for rolling bearing fault diagnosis under variable speed
Z Ma, F Lu, S Liu, X Li
Journal of Mechanical Science and Technology 35, 1851-1865, 2021
152021
Fractional synchrosqueezing transformation and its application in the estimation of the instantaneous frequency of a rolling bearing
X Li, Z Ma, S Liu, F Lu
IEEE Access 8, 134084-134100, 2020
112020
An adaptive generalized demodulation method for multimedia spectrum analysis is applied in rolling bearing fault diagnosis
Z Ma, F Lu, S Liu, X Li
IEEE Access 8, 20687-20699, 2020
112020
Deep multilayer sparse regularization time-varying transfer learning networks with dynamic kullback–leibler divergence weights for mechanical fault diagnosis
F Lu, Q Tong, X Jiang, Z Feng, J Xu, J Huo
IEEE Transactions on Industrial Informatics, 2024
82024
A deep targeted transfer network with clustering pseudo-label learning for fault diagnosis across different machines
F Lu, Q Tong, X Jiang, Z Feng, J Xu, X Wang, J Huo
Mechanical Systems and Signal Processing 213, 111344, 2024
82024
A New de-noising method based on enhanced time-frequency manifold and Kurtosis-Wavelet dictionary for rolling bearing fault vibration signal
Q Tong, Z Liu, F Lu, Z Feng, Q Wan
Sensors 22 (16), 6108, 2022
72022
Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
F Lu, Q Tong, X Jiang, S Du, J Xu, J Huo, Z Zhang
Advanced Engineering Informatics 62, 102787, 2024
52024
Envelope demodulation method based on SET for fault diagnosis of rolling bearings under variable speed
Z Ma, X Li, S Liu, Y Ge, F Lu
Journal of Advanced Mechanical Design, Systems, and Manufacturing 14 (7 …, 2020
52020
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
F Lu, Q Tong, X Jiang, X Du, J Xu, J Huo
Computers in Industry 164, 104169, 2025
42025
Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis
Q Tong, S Du, X Jiang, F Lu, Z Feng, R Liu, J Xu, J Huo
Measurement Science and Technology 35 (6), 066001, 2024
42024
Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis
Z Feng, Q Tong, X Jiang, F Lu, X Du, J Xu, J Huo
Sensors 24 (7), 2079, 2024
22024
Life Prediction of Rolling Bearing Based on Bidirectional GRU
Z Gong, Q Tong, F Lu, Z Feng, Q Wan, G An, J Cao, T Guo
International Symposium on New Energy and Electrical Technology, 151-157, 2022
12022
DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain
F Lu, Q Tong, X Jiang, Z Feng, R Liu, J Xu, J Huo
Reliability Engineering & System Safety 252, 110454, 2024
2024
Research on Life Prediction Method of Motor Bearings
S Pang, Q Tong, F Lu, Z Feng, Q Wan, G An, J Cao, T Guo
International Symposium on New Energy and Electrical Technology, 60-67, 2022
2022
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