Ruonan Liu
Ruonan Liu
Tianjin University/天津大学
在 tju.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Artificial intelligence for fault diagnosis of rotating machinery: A review
R Liu, B Yang, E Zio, X Chen
Mechanical Systems and Signal Processing 108, 33-47, 2018
7812018
Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine
R Liu, G Meng, B Yang, C Sun, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1310-1320, 2016
2082016
Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD
B Yang, R Liu, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1321-1331, 2017
1312017
Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis
R Liu, B Yang, X Zhang, S Wang, X Chen
Mechanical Systems and Signal Processing 75, 345-370, 2016
1212016
Remaining useful life prediction based on a double-convolutional neural network architecture
B Yang, R Liu, E Zio
IEEE Transactions on Industrial Electronics 66 (12), 9521-9530, 2019
952019
Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction
B Qiao, X Zhang, J Gao, R Liu, X Chen
Mechanical Systems and Signal Processing 83, 93-115, 2017
822017
The application of cubic B-spline collocation method in impact force identification
B Qiao, X Chen, X Xue, X Luo, R Liu
Mechanical Systems and Signal Processing 64, 413-427, 2015
612015
Sparse time-frequency representation for incipient fault diagnosis of wind turbine drive train
B Yang, R Liu, X Chen
IEEE Transactions on Instrumentation and Measurement 67 (11), 2616-2627, 2018
472018
Simultaneous bearing fault recognition and remaining useful life prediction using joint-loss convolutional neural network
R Liu, B Yang, AG Hauptmann
IEEE Transactions on Industrial Informatics 16 (1), 87-96, 2019
432019
Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions
R Liu, F Wang, B Yang, SJ Qin
IEEE Transactions on Industrial Informatics 16 (6), 3797-3806, 2019
332019
Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases
Q Chen, W Tu, R Liu, X Chen
Journal of Intelligent Material Systems and Structures 29 (4), 530-552, 2018
132018
Cascade convolutional neural network with progressive optimization for motor fault diagnosis under nonstationary conditions
F Wang, R Liu, Q Hu, X Chen
IEEE Transactions on Industrial Informatics 17 (4), 2511-2521, 2020
52020
Fault diagnosis of bearing running status using mutual information
M Meng, L Ruonan, H Yushan, C Xuefeng
2014 Prognostics and System Health Management Conference (PHM-2014 Hunan …, 2014
52014
Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms
Y Guo, X Chen, S Wang, X Li, R Liu
2016 IEEE International Instrumentation and Measurement Technology …, 2016
42016
Data-driven discriminative K-SVD for bearing fault diagnosis
S Wu, X Chen, Z Zhao, R Liu
2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-6, 2017
32017
Sparse components separation-based operational reliability assessment approach
R Liu, B Yang, M Ma, X Chen, G Meng
2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-5, 2016
12016
Sparse representation based on redundant dictionary and basis pursuit denoising for wind turbine gearbox fault diagnosis
B Yang, R Liu, R Li, X Chen
2016 International Symposium on Flexible Automation (ISFA), 103-107, 2016
12016
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis with Limited Data
Y Hu, R Liu, X Li, D Chen, Q Hu
IEEE Transactions on Industrial Informatics, 2021
2021
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis
Y Wang, R Liu, D Lin, D Chen, P Li, Q Hu, CLP Chen
IEEE Transactions on Neural Networks and Learning Systems, 2021
2021
航空发动机轮盘模拟件裂纹预制分析与试验研究
刘若楠, 耿佳, 张瑞玲, 陈雪峰
机械工程学报 55 (13), 95-101, 2019
2019
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