基于短时傅里叶变换和卷积神经网络的轴承故障诊断方法 [J]. 李恒,张氢,秦仙蓉,孙远韬. 振动与冲击 . 2018(19)

深度卷积神经网络的汽车车型识别方法 [J]. 张军,张婷,杨正瓴,朱新山,杨伯轩. 传感器与微系统 . 2016(11)

故障诊断方法现状与展望 [J]. 王宏力,侯青剑. 传感器与微系统 . 2008(05)

Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses [J] . Guangfen Wei,Gang Li,Jie Zhao,Aixiang He. Sensors . 2019 (1)

Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification [J] . Chen Lu,Zhenya Wang,Bo Zhou. Advanced Engineering Informatics . 2017

Robust face detection using local CNN and SVM based on kernel combination [J] . Qin-Qin Tao,Shu Zhan,Xiao-Hong Li,Toru Kurihara. Neurocomputing . 2016

Fault classification in power systems using EMD and SVM [J] . N. Ramesh Babu,B. Jagan Mohan. Ain Shams Engineering Journal . 2015

Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool [J] . Ingrid Daubechies,Jianfeng Lu,Hau-Tieng Wu. Applied and Computational Harmonic Analysis . 2010 (2)

A roller bearing fault diagnosis method based on EMD energy entropy and ANN [J] . Yang Yu,YuDejie,Cheng Junsheng. Journal of Sound and Vibration . 2005 (1)

Basic vibration signal processing for bearing fault detection [J] . McInerny S.A.,Dai Y.. IEEE Transactions on Education . 2003 (1)