Jiao Weidong Home Combining kernel principal component analysis and spatial group-wise enhance convolutional neural network for fault recognition of rolling element bearings 浙江师范大学教师个人主页系统

location： Current position: Home >> Scientific research >> Paper achievements

Combining kernel principal component analysis and spatial group-wise enhance convolutional neural network for fault recognition of rolling element bearings

Hits :

Journal : Measurement Science and Technology

Translation or Not : no

Pre One : A three-stage method for efficiently extracting the higher-order harmonics of bearing fault characteristic frequencies

Next One : Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition

Home

Scientific research

Teaching research

Winning information

Enrollment information

Student information

My album

Teacher blog

Combining kernel principal component analysis and spatial group-wise enhance convolutional neural network for fault recognition of rolling element bearings