IFR and IFCF Estimation from TFD and Ridge Extraction.
The trend lines of IFR and IFCF can be obtained from the corresponding TFDs by performing ridge extraction.
By conducting a series of signal processing and image processing algorithms, the trend lines of the IFR and IFCF are extracted, while the FCO, which reflects the bearing fault type, is obtained.
The IFCF and its harmonics are revealed in the TFD, but the noise interference can be noticed.
The TFD of the envelope signal [Figure 16] presents the IFCF and its harmonics.
The proposed method diagnoses the bearing fault as follows: (1) a running motor containing the test bearing is recorded on video; (2) the IFR is obtained from the video by calculating the correlation coefficients and extracting the ridge from the TFD of the correlation coefficients; (3) the IFCF is obtained from the audio track by filtering and demodulating the raw signal and then extracting the ridge from the TFD of the envelope signal; (4) finally, FCO is calculated by dividing IFCF by IFR.
Caption: Figure 11: Trend line of the IFCF of the outer raceway fault bearing.
Caption: Figure 17: Trend line of the IFCF of the inner raceway fault bearing.