Research on Bearing Fault Diagnosis Based on Correlation Entropy Time-Frequency Analysis and...... скачать в хорошем качестве

Research on Bearing Fault Diagnosis Based on Correlation Entropy Time-Frequency Analysis and......

👇Download Article👇 https://www.ijert.org/research-on-bea... IJERTV11IS030029 Research on Bearing Fault Diagnosis Based on Correlation Entropy Time-Frequency Analysis and Deep Learning Li Xin For the research of bearing fault diagnosis based on correlation entropy time-frequency analysis and deep learning, the vibration signal obtained by the sensor is divided according to the training set and test set, the correlation entropy function of the segmented signal is calculated to reduce the noise, then the short-time Fourier transform is carried out to further filter the noise, and the two-dimensional time-frequency map of the segmented signal is obtained. Finally, the two-dimensional time- frequency map is input into the neural network,Automatic fault feature extraction, and draw the accuracy ACC curve, target value loss curve, confusion matrix and other visual graphics to automatically complete the classification of fault types.