Ming Zhao

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

Ming Zhao, Li Pin, Xiaoqiang Xu · Measurement · 2017 · 676 citations

Fault Diagnosis, Condition Monitoring, Convolutional Neural Network +11

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

Yonghao Miao, Ming Zhao, Jing Lin et al. · Mechanical Systems and Signal Processing · 2017 · 372 citations

Fault Diagnosis, Condition Monitoring, Engineering +5

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

Wang Tai-yong, Ming Zhao, Peng Wang · Sensors · 2017 · 366 citations · Full text

Fault Diagnosis, Engineering, Machine Learning +17

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

Ming Zhao, Xiaodong Jia · Mechanical Systems and Signal Processing · 2017 · 294 citations

Fault Diagnosis, Condition Monitoring, Engineering +7

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

Yonghao Miao, Ming Zhao, Jing Lin · ISA Transactions · 2018 · 260 citations

Modal Analysis, Numerical Analysis, Fault Diagnosis +10