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2020 – today
- 2025
[j38]Zhenning Li
, Hongkai Jiang, Xin Wang:
A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation. Reliab. Eng. Syst. Saf. 253: 110570 (2025)- 2024
- [j37]Yutong Dong, Hongkai Jiang, Mingzhe Mu, Xin Wang:
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis. Adv. Eng. Informatics 62: 102573 (2024) - [j36]Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong:
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples. Adv. Eng. Informatics 62: 102870 (2024) - [j35]Yutong Dong, Hongkai Jiang, Yunpeng Liu, Zichun Yi:
Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data. Eng. Appl. Artif. Intell. 132: 107968 (2024) - [j34]Yutong Dong, Hongkai Jiang, Wenxin Jiang, Lianbing Xie:
Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis. Eng. Appl. Artif. Intell. 133: 108098 (2024) - [j33]Renhe Yao, Hongkai Jiang, Wenxin Jiang, Yunpeng Liu, Yutong Dong:
Deep discriminative sparse representation learning for machinery fault diagnosis. Eng. Appl. Artif. Intell. 135: 108836 (2024) - [j32]Yutong Dong, Hongkai Jiang, Renhe Yao, Mingzhe Mu, Qiao Yang:
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning. Reliab. Eng. Syst. Saf. 243: 109805 (2024) - [j31]Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu, Wenxin Jiang:
An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. Reliab. Eng. Syst. Saf. 251: 110404 (2024) - 2023
- [j30]Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Yunpeng Liu, Wangfeng Yang:
Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis. Adv. Eng. Informatics 56: 101993 (2023) - [j29]Xin Wang, Hongkai Jiang, Zhenghong Wu, Qiao Yang:
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. Adv. Eng. Informatics 56: 102027 (2023) - [j28]Xin Wang, Hongkai Jiang, Yunpeng Liu, Shaowei Liu, Qiao Yang:
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data. Eng. Appl. Artif. Intell. 126: 106872 (2023) - [j27]Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Zichun Yi, Ruixin Wang:
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching. Reliab. Eng. Syst. Saf. 231: 109036 (2023) - [j26]Yutong Dong, Hongkai Jiang, Zhenghong Wu, Qiao Yang, Yunpeng Liu:
Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis. Reliab. Eng. Syst. Saf. 235: 109253 (2023) - [c6]Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou:
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. ICPHM 2023: 105-111 - [c5]Zhenning Li, Hongkai Jiang, Shaowei Liu, Ruixin Wang:
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method. ICPHM 2023: 205-211 - 2022
- [j25]Xingqiu Li, Hongkai Jiang, Min Xie, Tongqing Wang, Ruixin Wang, Zhenghong Wu:
A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains. Adv. Eng. Informatics 51: 101480 (2022) - [j24]Shaowei Liu, Hongkai Jiang, Yanfeng Wang, Ke Zhu, Chaoqiang Liu:
A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis. Adv. Eng. Informatics 52: 101598 (2022) - [j23]Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Chunxia Yang:
A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis. Adv. Eng. Informatics 53: 101651 (2022) - [j22]Ruixin Wang, Hongkai Jiang, Ke Zhu, Yanfeng Wang, Chaoqiang Liu:
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis. Adv. Eng. Informatics 54: 101750 (2022) - [j21]Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Yunpeng Liu, Ke Zhu:
Machine fault diagnosis with small sample based on variational information constrained generative adversarial network. Adv. Eng. Informatics 54: 101762 (2022) - [j20]Ke Zhao, Hongkai Jiang, Zhenghong Wu, Tengfei Lu:
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data. J. Intell. Manuf. 33(1): 151-165 (2022) - [j19]Xingqiu Li, Hongkai Jiang, Yuan Liu, Tongqing Wang, Zhenning Li:
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data. Knowl. Based Syst. 235: 107652 (2022) - [j18]Ke Zhao, Hongkai Jiang, Chaoqiang Liu, Yanfeng Wang, Ke Zhu:
A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data. Knowl. Based Syst. 238: 107892 (2022) - [j17]Yunpeng Liu, Hongkai Jiang, Chaoqiang Liu, Wangfeng Yang, Wei Sun:
Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis. Knowl. Based Syst. 252: 109439 (2022) - [j16]Yong Zhao, Lin Chen, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan:
RTSfM: Real-Time Structure From Motion for Mosaicing and DSM Mapping of Sequential Aerial Images With Low Overlap. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j15]Zhiyi He, Haidong Shao, Ziyang Ding, Hongkai Jiang, Junsheng Cheng:
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine. IEEE Trans. Ind. Electron. 69(1): 845-855 (2022) - [c4]Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Ke Zhao, Xin Wang:
Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. ICPHM 2022: 127-132 - [c3]Ruixin Wang, Hongkai Jiang, Zhenning Li, Yunpeng Liu:
A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis. ICPHM 2022: 133-136 - 2021
- [j14]Li Xingqiu, Hongkai Jiang, Ruixin Wang, Maogui Niu:
Rolling bearing fault diagnosis using optimal ensemble deep transfer network. Knowl. Based Syst. 213: 106695 (2021) - [j13]Ke Zhao, Hongkai Jiang, Kaibo Wang, Zeyu Pei:
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis. Knowl. Based Syst. 222: 106974 (2021) - [j12]Ke Zhao, Hongkai Jiang, Li Xingqiu, Ruixin Wang:
Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis. Int. J. Mach. Learn. Cybern. 12(5): 1483-1499 (2021) - [j11]Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han:
HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11500-11507 (2021) - [j10]Yong Zhao, Guochen Liu, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Gang Wan:
Fast Georeferenced Aerial Image Stitching With Absolute Rotation Averaging and Planar- Restricted Pose Graph. IEEE Trans. Geosci. Remote. Sens. 59(4): 3502-3517 (2021) - [i2]Yong Zhao, Pengcheng Zhao, Shibiao Xu, Lin Chen, Pengcheng Han, Shuhui Bu, Hongkai Jiang:
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages. CoRR abs/2108.08464 (2021) - 2020
- [j9]Haidong Shao, Junsheng Cheng, Hongkai Jiang, Yu Yang, Wu Zhantao:
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. Knowl. Based Syst. 188 (2020) - [j8]Zhenghong Wu, Hongkai Jiang, Tengfei Lu, Ke Zhao:
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data. Knowl. Based Syst. 196: 105814 (2020) - [j7]Yong Zhao, Yuqi Cheng, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan:
Real-Time Orthophoto Mosaicing on Mobile Devices for Sequential Aerial Images with Low Overlap. Remote. Sens. 12(22): 3739 (2020)
2010 – 2019
- 2019
- [j6]Li Xingqiu, Hongkai Jiang, Ke Zhao, Ruixin Wang:
A Deep Transfer Nonnegativity-Constraint Sparse Autoencoder for Rolling Bearing Fault Diagnosis With Few Labeled Data. IEEE Access 7: 91216-91224 (2019) - [c2]Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han:
GSLAM: A General SLAM Framework and Benchmark. ICCV 2019: 1110-1120 - [i1]Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han:
GSLAM: A General SLAM Framework and Benchmark. CoRR abs/1902.07995 (2019) - 2018
- [j5]Haidong Shao, Hongkai Jiang, Li Xingqiu, Tianchen Liang:
Rolling bearing fault detection using continuous deep belief network with locally linear embedding. Comput. Ind. 96: 27-39 (2018) - [j4]Hongkai Jiang, Haidong Shao, Xinxia Chen, Jiayang Huang:
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery. J. Intell. Fuzzy Syst. 34(6): 3513-3521 (2018) - [j3]Haidong Shao, Hongkai Jiang, Li Xingqiu, Wu Shuaipeng:
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine. Knowl. Based Syst. 140: 1-14 (2018) - [j2]Haidong Shao, Hongkai Jiang, Haizhou Zhang, Tianchen Liang:
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network. IEEE Trans. Ind. Electron. 65(3): 2727-2736 (2018) - [c1]Haidong Shao, Hongkai Jiang:
Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder. ICPHM 2018: 1-8 - 2017
- [j1]Haidong Shao, Hongkai Jiang, Fuan Wang, Huiwei Zhao:
An enhancement deep feature fusion method for rotating machinery fault diagnosis. Knowl. Based Syst. 119: 200-220 (2017)
Coauthor Index
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