Title / AuthorYear
Deep learning and its applications to machine health monitoring
R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao
Mechanical Systems and Signal Processing 115, 213-237
2019
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
T Han, C Liu, W Yang, D Jiang
Knowledge-Based Systems 165, 474-487
2019
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
T Han, C Liu, W Yang, D Jiang
ISA transactions 97, 269-281
2020
A novel deeper one-dimensional CNN with residual learning for fault diagnosis of wheelset bearings in high-speed trains
D Peng, Z Liu, H Wang, Y Qin, L Jia
IEEE Access 7, 10278-10293
2018
A novel image feature for the remaining useful lifetime prediction of bearings based on continuous wavelet transform and convolutional neural network
Y Yoo, JG Baek
Applied Sciences 8 (7), 1102
2018
A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis
Y Hao, L Song, L Cui, H Wang
Measurement 134, 480-491
2019
Smart machining process using machine learning: A review and perspective on machining industry
DH Kim, TJY Kim, X Wang, M Kim, YJ Quan, JW Oh, SH Min, H Kim, ...
International Journal of Precision Engineering and Manufacturing-Green …
2018
Bearing fault diagnosis method based on deep convolutional neural network and random forest ensemble learning
G Xu, M Liu, Z Jiang, D Söffker, W Shen
Sensors 19 (5), 1088
2019
Information fusion and semi-supervised deep learning scheme for diagnosing gear faults in induction machine systems
R Razavi-Far, E Hallaji, M Farajzadeh-Zanjani, M Saif, SH Kia, H Henao, ...
IEEE Transactions on Industrial Electronics 66 (8), 6331-6342
2018
A new subset based deep feature learning method for intelligent fault diagnosis of bearing
Y Zhang, X Li, L Gao, P Li
Expert Systems with Applications 110, 125-142
2018
Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification
XC Cao, BQ Chen, B Yao, WP He
Computers in Industry 106, 71-84
2019
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors
D Guo, M Zhong, H Ji, Y Liu, R Yang
Neurocomputing 319, 155-163
2018
Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions
Z Chen, Y Chen, L Wu, S Cheng, P Lin
Energy Conversion and Management 198, 111793
2019
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics--A Comprehensive Review
S Zhang, S Zhang, B Wang, TG Habetler
arXiv preprint arXiv:1901.08247
2019
Online fault diagnosis method based on transfer convolutional neural networks
G Xu, M Liu, Z Jiang, W Shen, C Huang
IEEE Transactions on Instrumentation and Measurement 69 (2), 509-520
2019
A deep feature optimization fusion method for extracting bearing degradation features
L Zhao, X Wang
IEEE Access 6, 19640-19653
2018
A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings
M Sun, H Wang, P Liu, S Huang, P Fan
Measurement 146, 305-314
2019
General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis
Z Zhang, S Li, J Wang, Y Xin, Z An
Mechanical Systems and Signal Processing 124, 596-612
2019
A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network
Y Yang, H Zheng, Y Li, M Xu, Y Chen
ISA transactions 91, 235-252
2019
Mechanical fault diagnosis using convolutional neural networks and extreme learning machine
Z Chen, K Gryllias, W Li
Mechanical Systems and Signal Processing 133, 106272
2019
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