Research Article
Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis
Table 2
The performance of different methods under the XJTU-SY dataset.
| Method | Signal processing | Average accuracy (%) |
| CNN | Raw vibration signal | 90.42 | CNN-LSTM | Raw vibration signal | 88.79 | Bi-LSTM | TFR (SWT) | 89.47 | WRN-16-2 | TFR (STFT) | 90.53 | TST | Raw vibration signal | 93.37 | TFT | TFR (SWT) | 96.43 | BAFT | Raw vibration signal | 97.29 | MTFST (proposed) | TFR (STFT) | 99.34 |
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