In common, there are three types of fault: rolling bearing fault, inner ring fault, and outer ring fault.
The normal state has the highest energy value, followed with inner ring fault, and outer ring fault and the last one is rolling fault.
Similarly, inner ring fault, outer ring fault, and rolling bearing fault are identified when the value is 2, 3, and 4, respectively.
According to the characteristics of the rolling bearing fault signal, the acceleration sensor to detect the vibration signal, of rolling bearings of four kinds of working state: normal operation, inner ring fault, outer fault and rolling element fault were vibration signal acquisition.
Figure 2-5 in order to normal bearing, inner ring fault, and outer ring fault, the original fault of the rolling body signal contrast after signal and noise reduction.
Diagnosis results show that the normal bearing 4 false positives, the inner ring fault does not appear false positives, outer ring fault occurs 3 miscarriages of justice, the rolling body fault occurs 2 false positives.
Caption: Figure 3: The time domain of the outer ring fault signal.
Caption: Figure 4: The denoised outer ring fault signal.
Caption: Figure 5: The outer ring fault signal decomposed into 5 IMFs by EMD.
In this study, using the collected experimental data , the desired features are obtained by processing signal in time and frequency domains, for ball bearings in conditions of faultless, outer ring fault, inner ring fault and are given to teaching to neural network input.
Also, the inner ring and outer ring fault frequency are obtained through the following relation, respectively: