Hongkai Jiang

Overview

Best Publications

• A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

  Haidong Shao;Hongkai Jiang;Huiwei Zhao;Fuan Wang

  665
  Citations

• Rolling bearing fault diagnosis using an optimization deep belief network

  Haidong Shao;Hongkai Jiang;Xun Zhang;Maogui Niu

  512
  Citations

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

  Haidong Shao;Hongkai Jiang;Haizhou Zhang;Tianchen Liang

  477
  Citations

• A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

  Haidong Shao;Hongkai Jiang;Ying Lin;Xingqiu Li

  456
  Citations

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

  Haidong Shao;Hongkai Jiang;Haizhou Zhang;Wenjing Duan

  363
  Citations

• An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis

  Hongkai Jiang;Chengliang Li;Huaxing Li

  330
  Citations

• An adaptive deep transfer learning method for bearing fault diagnosis

  Zhenghong Wu;Hongkai Jiang;Ke Zhao;Xingqiu Li

  298
  Citations

• An enhancement deep feature fusion method for rotating machinery fault diagnosis

  Haidong Shao;Hongkai Jiang;Fuan Wang;Huiwei Zhao

  288
  Citations

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

  Haidong Shao;Hongkai Jiang;Fuan Wang;Yanan Wang

  277
  Citations

• An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

  Xingqiu Li;Hongkai Jiang;Maogui Niu;Ruixin Wang

  214
  Citations

• Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis

  Shaowei Liu;Hongkai Jiang;Zhenghong Wu;Xingqiu Li

  207
  Citations

• Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis

  Ke Zhao;Hongkai Jiang;Kaibo Wang;Zeyu Pei

  191
  Citations

• Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network

  Hongkai Jiang;Xingqiu Li;Haidong Shao;Ke Zhao

  177
  Citations

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

  Haidong Shao;Hongkai Jiang;Xingqiu Li;Tianchen Liang

  174
  Citations

• Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

  Zhiyi He;Haidong Shao;Ziyang Ding;Hongkai Jiang

  149
  Citations

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

  Shaowei Liu;Hongkai Jiang;Zhenghong Wu;Xingqiu Li

  143
  Citations

• Rolling bearing fault diagnosis using optimal ensemble deep transfer network

  Xingqiu Li;Hongkai Jiang;Ruixin Wang;Maogui Niu

  137
  Citations

• Rolling bearing health prognosis using a modified health index based hierarchical gated recurrent unit network

  Xingqiu Li;Hongkai Jiang;Xiong Xiong;Haidong Shao

  103
  Citations

• A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis

  Unknown

  98
  Citations

• A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data

  Zhenghong Wu;Hongkai Jiang;Tengfei Lu;Ke Zhao

  93
  Citations

• A reinforcement neural architecture search method for rolling bearing fault diagnosis

  Ruixin Wang;Hongkai Jiang;Xingqiu Li;Shaowei Liu

  67
  Citations