Accurate Bearing Fault Diagnosis under Variable Shaft Speed using Convolutional Neural Networks and Vibration Spectrogram
暂无分享，去创建一个
[1] Jong-Myon Kim,et al. Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions , 2020, IEEE Transactions on Instrumentation and Measurement.
[2] S. A. McInerny,et al. Basic vibration signal processing for bearing fault detection , 2003, IEEE Trans. Educ..
[3] Farhat Fnaiech,et al. Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis , 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).
[4] Mohammad Modarres,et al. Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings , 2017 .
[5] P. Tse,et al. A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing , 2005 .
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] Hee-Jun Kang,et al. Rolling element bearing fault diagnosis using convolutional neural network and vibration image , 2019, Cognitive Systems Research.
[8] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[9] E.L. Owen,et al. Assessment of the Reliability of Motors in Utility Applications - Updated , 1986, IEEE Transactions on Energy Conversion.