Follow
Quan Qian
Quan Qian
College of Mechanical and Vehicle Engineering,Chongqing University
Verified email at cqu.edu.cn
Title
Cited by
Cited by
Year
A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis
Q Qian, Y Qin, Y Wang, F Liu
Measurement 178, 109352, 2021
1232021
Deep discriminative transfer learning network for cross-machine fault diagnosis
Q Qian, Y Qin, J Luo, Y Wang, F Wu
Mechanical Systems and Signal Processing 186, 109884, 2023
952023
Remaining useful life prediction of bearings by a new reinforced memory GRU network
J Zhou, Y Qin, D Chen, F Liu, Q Qian
Advanced Engineering Informatics 53, 101682, 2022
562022
Relationship transfer domain generalization network for rotating machinery fault diagnosis under different working conditions
Q Qian, J Zhou, Y Qin
IEEE Transactions on Industrial Informatics, 2023
472023
Deep joint distribution alignment: A novel enhanced-domain adaptation mechanism for fault transfer diagnosis
Y Qin, Q Qian, J Luo, H Pu
IEEE Transactions on Cybernetics, 2022
392022
Maximum mean square discrepancy: a new discrepancy representation metric for mechanical fault transfer diagnosis
Q Qian, Y Wang, T Zhang, Y Qin
Knowledge-Based Systems 276, 110748, 2023
382023
Partial transfer fault diagnosis by multiscale weight-selection adversarial network
Q Qian, Y Qin, J Luo, S Wang
IEEE/ASME Transactions on Mechatronics 27 (6), 4798-4806, 2022
312022
Multiscale transfer voting mechanism: A new strategy for domain adaption
Y Qin, X Wang, Q Qian, H Pu, J Luo
IEEE Transactions on Industrial Informatics 17 (10), 7103-7113, 2020
282020
Intermediate distribution alignment and its application into mechanical fault transfer diagnosis
Y Qin, Q Qian, Y Wang, J Zhou
IEEE Transactions on Industrial Informatics 18 (10), 7305-7315, 2022
272022
A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis
C Chu, Y Ge, Q Qian, B Hua, J Guo
Digital Signal Processing 122, 103355, 2022
252022
Multiscale domain adaption models and their application in fault transfer diagnosis of planetary gearboxes
Q Yao, Y Qin, X Wang, Q Qian
Engineering Applications of Artificial Intelligence 104, 104383, 2021
232021
Cross-machine transfer fault diagnosis by ensemble weighting subdomain adaptation network
Q Qian, Y Qin, J Luo, D Xiao
IEEE Transactions on Industrial Electronics, 2023
212023
Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis
Q Yao, Q Qian, Y Qin, L Guo, F Wu
Engineering Applications of Artificial Intelligence 113, 104932, 2022
202022
Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network
D Chen, Y Qin, Q Qian, Y Wang, F Liu
Reliability Engineering & System Safety 230, 108916, 2023
132023
Adaptive intermediate class-wise distribution alignment: a universal domain adaptation and generalization method for machine fault diagnosis
Q Qian, J Luo, Y Qin
IEEE transactions on neural networks and learning systems, 2024
102024
High-precision cutterhead torque prediction for tunnel boring machines using an attention-based embedded LSTM neural network
Y Qin, J Zhou, D Xiao, C Qin, Q Qian
Measurement 224, 113888, 2024
22024
Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery
Y Qin, Q Qian, Z Wang, Y Mao
Engineering Applications of Artificial Intelligence 126, 107082, 2023
22023
Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
Q Qian, H Pu, T Tu, Y Qin
Mechanical Systems and Signal Processing 217, 111544, 2024
2024
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
J Zhou, J Yang, Q Qian, Y Qin
Measurement Science and Technology 35 (6), 062001, 2024
2024
Large model for rotating machine fault diagnosis based on a dense connection network with depthwise separable convolution
Y Qin, T Zhang, Q Qian, Y Mao
IEEE Transactions on Instrumentation and Measurement, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20