Hongkai Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Transfer Learning

Rotating Machinery

Fault Diagnosis

Top Venues

Knowl. Based Syst.

Adv. Eng. Informatics

Reliab. Eng. Syst. Saf.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
Renhe Yao, Hongkai Jiang, Wenxin Jiang, Yunpeng Liu, Yutong Dong
Deep discriminative sparse representation learning for machinery fault diagnosis. Eng. Appl. Artif. Intell. 135 (2024)
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 (2024)
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)
Zhenning Li, Hongkai Jiang, Shaowei Liu, Ruixin Wang
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method. ICPHM (2023)
Xin Wang, Hongkai Jiang, Zhenghong Wu, Qiao Yang
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. Adv. Eng. Informatics 56 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
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 (2022)
Ruixin Wang, Hongkai Jiang, Zhenning Li, Yunpeng Liu
A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis. ICPHM (2022)
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 (2022)
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 (2022)
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Chunxia Yang
A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis. Adv. Eng. Informatics 53 (2022)
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) (2022)
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)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2021)
Li Xingqiu, Hongkai Jiang, Ruixin Wang, Maogui Niu
Rolling bearing fault diagnosis using optimal ensemble deep transfer network. Knowl. Based Syst. 213 (2021)
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 (2021)
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) (2021)
Ke Zhao, Hongkai Jiang, Kaibo Wang, Zeyu Pei
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis. Knowl. Based Syst. 222 (2021)
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 (2021)
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) (2020)
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)
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 (2020)
Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han
GSLAM: A General SLAM Framework and Benchmark. CoRR (2019)
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 (2019)
Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han
GSLAM: A General SLAM Framework and Benchmark. ICCV (2019)
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) (2018)
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 (2018)
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) (2018)
Haidong Shao, Hongkai Jiang
Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder. ICPHM (2018)
Haidong Shao, Hongkai Jiang, Li Xingqiu, Tianchen Liang
Rolling bearing fault detection using continuous deep belief network with locally linear embedding. Comput. Ind. 96 (2018)
Haidong Shao, Hongkai Jiang, Fuan Wang, Huiwei Zhao
An enhancement deep feature fusion method for rotating machinery fault diagnosis. Knowl. Based Syst. 119 (2017)