A-case-of-intelligent-bearing-fault-diagnosis

This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out

1. Root mean square
2. Peak value
3. Peak factor
4. Kurtosis
5. Waveform factor
6. Margin
7. Impulse factor
8. Mean square frequency
9. Gravity frequency
10. Variance frequency
11. Fault characteristic frequency
12. BP neural network