Ming Zhao

Overview

Best Publications

• A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

  Luyang Jing;Ming Zhao;Pin Li;Xiaoqiang Xu

  691
  Citations

• A comprehensive review on convolutional neural network in machine fault diagnosis

  Jinyang Jiao;Ming Zhao;Jing Lin;Kaixuan Liang

  503
  Citations

• An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox.

  Luyang Jing;Taiyong Wang;Ming Zhao;Peng Wang

  378
  Citations

• Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings

  Yonghao Miao;Ming Zhao;Ming Zhao;Jing Lin;Yaguo Lei

  377
  Citations

• A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

  Ming Zhao;Ming Zhao;Xiaodong Jia

  298
  Citations

• Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification

  Yonghao Miao;Ming Zhao;Ming Zhao;Jing Lin

  254
  Citations

• Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition.

  Yonghao Miao;Ming Zhao;Jing Lin

  247
  Citations

• A review on the application of blind deconvolution in machinery fault diagnosis

  Yonghao Miao;Yonghao Miao;Boyao Zhang;Jing Lin;Ming Zhao

  229
  Citations

• Residual joint adaptation adversarial network for intelligent transfer fault diagnosis

  Jinyang Jiao;Ming Zhao;Jing Lin;Kaixuan Liang

  203
  Citations

• Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis

  Xiaoqiang Xu;Ming Zhao;Jing Lin;Yaguo Lei

  183
  Citations

• A tacho-less order tracking technique for large speed variations

  Ming Zhao;Jing Lin;Xiufeng Wang;Yaguo Lei

  179
  Citations

• Tacholess envelope order analysis and its application to fault detection of rolling element bearings with varying speeds.

  Ming-Ming Zhao;Jing Lin;Xiaoqiang Xu;Yaguo Lei

  163
  Citations

• Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis

  Jinyang Jiao;Ming Zhao;Jing Lin;Chuancang Ding

  156
  Citations

• Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings

  Ming Zhao;Ming Zhao;Jing Lin;Yonghao Miao;Xiaoqiang Xu

  147
  Citations

• Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis

  Jinyang Jiao;Ming Zhao;Jing Lin

  144
  Citations

• Identification of multiple faults in rotating machinery based on minimum entropy deconvolution combined with spectral kurtosis

  Dan He;Xiufeng Wang;Shancang Li;Jing Lin

  142
  Citations

• Health Assessment of Rotating Machinery Using a Rotary Encoder

  Ming Zhao;Jing Lin

  134
  Citations

• Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy

  Xiaodong Jia;Ming Zhao;Yuan Di;Qibo Yang

  128
  Citations

• A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes

  Jinyang Jiao;Ming Zhao;Jing Lin;Jian Zhao

  127
  Citations

• Double-level adversarial domain adaptation network for intelligent fault diagnosis

  Jinyang Jiao;Jing Lin;Ming Zhao;Kaixuan Liang

  124
  Citations

• Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery

  Xiaodong Jia;Ming Zhao;Ming Zhao;Yuan Di;Pin Li

  116
  Citations