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Articles

Weak fault diagnosis of rolling bearing based on FRFT and DBN

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Pages 57-66 | Received 28 Oct 2019, Accepted 26 Jan 2020, Published online: 05 Feb 2020

Figures & data

Figure 1. Time-frequency plane rotated by an angle.

Figure 1. Time-frequency plane rotated by an angle.

Figure 2. Filtering in fractional domain.

Figure 2. Filtering in fractional domain.

Figure 3. Original signal.

Figure 3. Original signal.

Figure 4. Signal with noise.

Figure 4. Signal with noise.

Figure 5. Three-dimensional diagram of signal after fractional Fourier signal.

Figure 5. Three-dimensional diagram of signal after fractional Fourier signal.

Figure 6. FRFT filtering.

Figure 6. FRFT filtering.

Figure 7. Filtered signal.

Figure 7. Filtered signal.

Figure 8. Structure of RBM.

Figure 8. Structure of RBM.

Figure 9. Schematic diagram of DBN structure.

Figure 9. Schematic diagram of DBN structure.

Figure 10. Flow chart of fault diagnosis.

Figure 10. Flow chart of fault diagnosis.

Figure 11. Normal data waveform.

Figure 11. Normal data waveform.

Figure 12. General fault data waveform.

Figure 12. General fault data waveform.

Figure 13. Weak fault data waveform.

Figure 13. Weak fault data waveform.

Table 1. Bearing sample data.

Figure 14. Three-dimensional diagram of cage fault data FRFT.

Figure 14. Three-dimensional diagram of cage fault data FRFT.

Figure 15. Comparison diagram of cage fault data.

Figure 15. Comparison diagram of cage fault data.

Figure 16. Other types of general fault filtering waveform.

Figure 16. Other types of general fault filtering waveform.

Figure 17. Weak fault filtering waveform.

Figure 17. Weak fault filtering waveform.

Table 2. Two sample datasets.

Figure 18. Comparison of accuracy rate of data sets A and B.

Figure 18. Comparison of accuracy rate of data sets A and B.

Table 3. Average diagnosis accuracy rate of each type of fault.