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Yixiao Liao
Yixiao Liao
Institute of Intelligent Manufacturing, GDAS
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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
W Li, R Huang, J Li, Y Liao, Z Chen, G He, R Yan, K Gryllias
Mechanical Systems and Signal Processing 167, 108487, 2022
4172022
Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery
Z Chen, G He, J Li, Y Liao, K Gryllias, W Li
IEEE Transactions on Instrumentation and Measurement 69 (11), 8702-8712, 2020
2012020
Deep decoupling convolutional neural network for intelligent compound fault diagnosis
R Huang, Y Liao, S Zhang, W Li
Ieee Access 7, 1848-1858, 2018
1742018
A two-stage transfer adversarial network for intelligent fault diagnosis of rotating machinery with multiple new faults
J Li, R Huang, G He, Y Liao, Z Wang, W Li
IEEE/ASME Transactions on Mechatronics 26 (3), 1591-1601, 2020
1412020
Deep semisupervised domain generalization network for rotary machinery fault diagnosis under variable speed
Y Liao, R Huang, J Li, Z Chen, W Li
IEEE Transactions on Instrumentation and Measurement 69 (10), 8064-8075, 2020
1392020
Deep adversarial capsule network for compound fault diagnosis of machinery toward multidomain generalization task
R Huang, J Li, Y Liao, J Chen, Z Wang, W Li
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
1312020
A multi-source weighted deep transfer network for open-set fault diagnosis of rotary machinery
Z Chen, Y Liao, J Li, R Huang, L Xu, G Jin, W Li
IEEE Transactions on Cybernetics 53 (3), 1982-1993, 2022
812022
Wavelet transform based convolutional neural network for gearbox fault classification
Y Liao, X Zeng, W Li
2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-6, 2017
462017
Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis
Y Liao, L Zhang, W Li
Journal of Intelligent & Fuzzy Systems 34 (6), 3671-3680, 2018
392018
Gearbox fault classification using S-transform and convolutional neural network
X Zeng, Y Liao, W Li
2016 10th international conference on sensing technology (ICST), 1-5, 2016
352016
Dynamic distribution adaptation based transfer network for cross domain bearing fault diagnosis
Y Liao, R Huang, J Li, Z Chen, W Li
Chinese Journal of Mechanical Engineering 34 (1), 52, 2021
292021
Simultaneous fault type and severity identification using a two-branch domain adaptation network
Z Chen, R Huang, Y Liao, J Li, G Jin, W Li
Measurement Science and Technology 32 (9), 094014, 2021
102021
Federated transfer learning for bearing fault diagnosis based on averaging shared layers
W Yang, J Chen, Z Chen, Y Liao, W Li
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 1-7, 2021
92021
Intelligent fault diagnosis of rotating machinery using lightweight network with modified treestructured parzen estimators
J Liang, Y Liao, Z Chen, H Lin, G Jin, K Gryllias, W Li
IET Collaborative Intelligent Manufacturing 4 (3), 194-207, 2022
52022
Digital twin-assisted gearbox dynamic model updating toward fault diagnosis
J Xia, R Huang, Y Liao, J Li, Z Chen, W Li
Frontiers of Mechanical Engineering 18 (2), 32, 2023
42023
Regrouping particle swarm optimization-based neural network for bearing fault diagnosis
Y Liao, L Zhang, W Li
2017 International Conference on Sensing, Diagnostics, Prognostics, and …, 2017
32017
Dynamic modeling of gearbox based on virtual-physical interaction
J Xia, R Huang, Y Liao, Z Chen, W Li
2021 International Conference on Sensing, Measurement & Data Analytics in …, 2021
22021
Differentiable Architecture Searched Network with Tree-Structured Parzen Estimators for Rotating Machinery Fault Diagnosis
J Liang, Y Liao, W Li
Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and …, 2022
2022
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