Guoqian Jiang / 江国乾
Title
Cited by
Cited by
Year
Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox
G Jiang, H He, J Yan, P Xie
IEEE Transactions on Industrial Electronics 66 (4), 3196-3207, 2018
1162018
Stacked multilevel-denoising autoencoders: A new representation learning approach for wind turbine gearbox fault diagnosis
G Jiang, H He, P Xie, Y Tang
IEEE Transactions on Instrumentation and Measurement 66 (9), 2391-2402, 2017
1012017
Wind turbine fault detection using a denoising autoencoder with temporal information
G Jiang, P Xie, H He, J Yan
IEEE/Asme transactions on mechatronics 23 (1), 89-100, 2017
632017
Deeplab-based spatial feature extraction for hyperspectral image classification
Z Niu, W Liu, J Zhao, G Jiang
IEEE Geoscience and Remote Sensing Letters 16 (2), 251-255, 2018
112018
A hybrid feature extraction methodology for gear pitting fault detection using motor stator current signal
Q He, X Ren, G Jiang, P Xie
Insight-Non-Destructive Testing and Condition Monitoring 56 (6), 326-333, 2014
112014
基于 PCA 和多变量极限学习机的轴承剩余寿命预测
何群, 李磊, 江国乾, 谢平
中国机械工程 25 (7), 984-989, 2014
112014
A multi-level-denoising autoencoder approach for wind turbine fault detection
X Wu, G Jiang, X Wang, P Xie, X Li
IEEE Access 7, 59376-59387, 2019
102019
Frequency-shift multiscale noise tuning stochastic resonance method for fault diagnosis of generator bearing in wind turbine
J Li, M Li, J Zhang, G Jiang
Measurement 133, 421-432, 2019
92019
Intelligent fault diagnosis of rotary machinery based on unsupervised multiscale representation learning
GQ Jiang, P Xie, X Wang, M Chen, Q He
Chinese Journal of Mechanical Engineering 30 (6), 1314-1324, 2017
92017
Early fault detection of wind turbines based on operational condition clustering and optimized deep belief network modeling
H Wang, H Wang, G Jiang, J Li, Y Wang
Energies 12 (6), 984, 2019
72019
基于相关主成分分析和极限学习机的风电机组主轴承状态监测研究
何群, 王红, 江国乾, 谢平, 李继猛, 王腾超
计量学报 39 (1), 89-93, 2017
72017
基于局部均值分解的滚动轴承故障诊断新方法
谢平, 杨玉昕, 江国乾, 李小俚, 李兴林
计量学报 35 (1), 73-77, 2014
72014
本征时间尺度排序熵及其在滚动轴承故障诊断中的应用
谢平, 江国乾, 李兴林, 李小俚
燕山大学学报 37 (2), 179-184, 2013
62013
基于多尺度熵和距离评估的滚动轴承故障诊断
谢平, 江国乾, 武鑫, 李小俚
计量学报 34 (6), 548-553, 2013
52013
基于样本熵的风力发电机早期故障检测
谢平, 王一凡, 江国乾, 黄梦君, 何群
计量学报 38 (5), 626-630, 2017
42017
基于 EEMD 与 AR 建模的风电场风速预测
何群, 赵文爽, 江国乾, 谢平
计量学报 36 (2), 181-186, 2015
42015
A newfault detection and diagnosis method based on Wigner-Ville spectrum entropy for the rolling bearing
P Xie, YX Yang, GQ Jiang, YH Du, XL Li
Applied Mechanics and Materials 197, 346-350, 2012
42012
Monitoring wind turbine gearbox with echo state network modeling and dynamic threshold using SCADA vibration data
X Wu, H Wang, G Jiang, P Xie, X Li
Energies 12 (6), 982, 2019
32019
A new fault diagnosis model for rotary machines based on MWPE and ELM
G Jiang, P Xie, S Du, Y Guo, Q He
Insight-Non-Destructive Testing and Condition Monitoring 59 (12), 644-652, 2017
22017
Rolling bearing fault diagnosis based on EEMD and sparse decomposition
M Li, J Li, G Jiang, J Zhang
2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-7, 2017
22017
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