Hongkai Jiang

发表

Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing

Yu Yang, Haidong Shao, Junsheng Cheng, 2020, Knowl. Based Syst..

Research on the Dynamic Model with Magnetorheological Damper

Hongkai Jiang, Maogui Niu, 2014 .

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

Haidong Shao, Hongkai Jiang, Li Xingqiu, 2018, Knowl. Based Syst..

Fast Georeferenced Aerial Image Stitching With Absolute Rotation Averaging and Planar- Restricted Pose Graph

Gang Wan, Yong Zhao, Hongkai Jiang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Aircraft Fault Diagnosis Based on Deep Belief Network

Haidong Shao, Hongkai Jiang, Xinxia Chen, 2017, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).

Rolling bearing fault detection using continuous deep belief network with locally linear embedding

Haidong Shao, Hongkai Jiang, Li Xingqiu, 2018, Comput. Ind..

An effective approach to rolling bearing diagnosis based on Adaptive Redundant Second-Generation Wavelet

Feng Ding, Yanyang Zi, Zhengjia He, 2008 .

A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery

Haidong Shao, Hongkai Jiang, Jiayang Huang, 2018, J. Intell. Fuzzy Syst..

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

Haidong Shao, Hongkai Jiang, Haizhou Zhang, 2018, IEEE Transactions on Industrial Electronics.

Intelligent Fault Diagnosis of Rotating Machinery Based on Deep Recurrent Neural Network

Yanan Hu, Hongkai Jiang, Xingqiu Li, 2018, 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).

Rolling Bearing Fault Feature Extraction Using Chirplet Decomposition Based on Genetic Algorithm

Ying Lin, Yanan Hu, Dongdong Wei, 2018, 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).

Rolling bearing fault diagnosis using optimal ensemble deep transfer network

Hongkai Jiang, Maogui Niu, Xingqiu Li, 2020, Knowl. Based Syst..

A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data

Ke Zhao, Hongkai Jiang, Zhenghong Wu, 2020, Journal of Intelligent Manufacturing.

Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder

Haidong Shao, Hongkai Jiang, Hongkai Jiang, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

Bearing Fault Diagnosis Based on EEMD and AR Spectrum Analysis

Hongkai Jiang, Dong Guo, Han Wang, 2014 .

Deep Learning Theory with Application in Intelligent Fault Diagnosis of Aircraft

Hongkai Jiang, Hongkai Jiang, 2019, Journal of Mechanical Engineering.

GSLAM: A General SLAM Framework and Benchmark

Yong Zhao, Hongkai Jiang, Shuhui Bu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Gearbox Fault Diagnosis Using Adaptive Redundant Second Generation Wavelet

Hongkai Jiang, Chendong Duan, Zheng Jia He, 2005 .

An enhancement deep feature fusion method for rotating machinery fault diagnosis

Haidong Shao, Hongkai Jiang, Fuan Wang, 2017, Knowl. Based Syst..

Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis

Shaowei Liu, Hongkai Jiang, Xingqiu Li, 2021 .

Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet.

Haidong Shao, Hongkai Jiang, Fuan Wang, 2017, ISA transactions.

A reinforcement neural architecture search method for rolling bearing fault diagnosis

Ruixin Wang, Shaowei Liu, Hongkai Jiang, 2020 .

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

Haidong Shao, Hongkai Jiang, Wenjing Duan, 2018 .

Rolling bearing fault diagnosis using an optimization deep belief network

Haidong Shao, Hongkai Jiang, Maogui Niu, 2015 .

Rotating machinery fault diagnosis using signal-adapted lifting scheme

Yanyang Zi, Zhengjia He, Hongkai Jiang, 2008 .