Подписаться
Haidong Shao
Haidong Shao
Associate Professor, College of Mechanical and Vehicle Engineering, Hunan University,
Подтвержден адрес электронной почты в домене hnu.edu.cn
Название
Процитировано
Процитировано
Год
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
H Shao, H Jiang, H Zhao, F Wang
Mechanical Systems and Signal Processing 95, 187-204, 2017
4652017
Rolling bearing fault diagnosis using an optimization deep belief network
H Shao, H Jiang, X Zhang, M Niu
Measurement Science and Technology 26 (11), 115002, 2015
3972015
Electric locomotive bearing fault diagnosis using a novel convolutional deep belief network
H Shao, H Jiang, H Zhang, T Liang
IEEE Transactions on Industrial Electronics 65 (3), 2727-2736, 2017
3152017
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
H Shao, H Jiang, Y Lin, X Li
Mechanical Systems and Signal Processing 102, 278-297, 2018
3082018
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing
H Shao, H Jiang, H Zhang, W Duan, T Liang, S Wu
Mechanical Systems and Signal Processing 100, 743-765, 2018
2902018
An enhancement deep feature fusion method for rotating machinery fault diagnosis
H Shao, H Jiang, F Wang, H Zhao
Knowledge-Based Systems 119, 200-220, 2017
2352017
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine
S Haidong, J Hongkai, L Xingqiu, W Shuaipeng
Knowledge-Based Systems 140, 1-14, 2018
2282018
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet
H Shao, H Jiang, F Wang, Y Wang
ISA transactions 69, 187-201, 2017
2002017
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
S Haidong, C Junsheng, J Hongkai, Y Yu, W Zhantao
Knowledge-Based Systems 188, 105022, 2020
1532020
Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images
H Shao, M Xia, G Han, Y Zhang, J Wan
IEEE Transactions on Industrial Informatics 17 (5), 3488-3496, 2020
1492020
An adaptive deep convolutional neural network for rolling bearing fault diagnosis
W Fuan, J Hongkai, S Haidong, D Wenjing, W Shuaipeng
Measurement Science and Technology 28 (9), 095005, 2017
1452017
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions
Z He, H Shao, X Zhong, X Zhao
Knowledge-Based Systems 207, 106396, 2020
1302020
Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder
H Zhiyi, S Haidong, J Lin, C Junsheng, Y Yu
Measurement 152, 107393, 2020
1242020
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples
Z He, H Shao, P Wang, JJ Lin, J Cheng, Y Yang
Knowledge-Based Systems 191, 105313, 2020
1212020
Rolling bearing fault detection using continuous deep belief network with locally linear embedding
H Shao, H Jiang, X Li, T Liang
Computers in Industry 96, 27-39, 2018
1212018
Snorkel drybell: A case study in deploying weak supervision at industrial scale
SH Bach, D Rodriguez, Y Liu, C Luo, H Shao, C Xia, S Sen, A Ratner, ...
Proceedings of the 2019 International Conference on Management of Data, 362-375, 2019
1102019
Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network
H Jiang, X Li, H Shao, K Zhao
Measurement Science and Technology 29 (6), 065107, 2018
1062018
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance
H Shao, J Lin, L Zhang, D Galar, U Kumar
Information Fusion 74, 65-76, 2021
872021
A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings
S Haidong, J Hongkai, Z Ke, W Dongdong, L Xingqiu
Mechanical Systems and Signal Processing 110, 193-209, 2018
812018
Modified deep autoencoder driven by multisource parameters for fault transfer prognosis of aeroengine
Z He, H Shao, Z Ding, H Jiang, J Cheng
IEEE Transactions on Industrial Electronics 69 (1), 845-855, 2021
782021
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20