Table 3.
Example of 1D–CNN-based tire condition classification model input data and independent variables.
| LF_TTPMS_P–[mbar] | LF_TTPMS_P–[_C] | X[g] | Y[g] | Z[g] |
|---|---|---|---|---|
| 9950.02 | 22.700001 | −0.016261 | 0.023190 | −0.039249 |
| 9950.02 | 22.700001 | −0.017589 | 0.023169 | −0.038865 |
| 9950.02 | 22.700001 | −0.016466 | 0.021973 | −0.040368 |
| 9950.02 | 22.700001 | −0.017130 | 0.022423 | −0.038767 |
| 9950.02 | 22.700001 | −0.017928 | 0.022153 | −0.040424 |
| 9950.02 | 22.700001 | −0.016996 | 0.022042 | −0.039718 |
| 9950.02 | 22.700001 | −0.017674 | 0.022568 | −0.038404 |
| 9950.02 | 22.700001 | −0.015851 | 0.020735 | −0.040081 |
| 9950.02 | 22.700001 | −0.017201 | 0.021579 | −0.038459 |
| 9950.02 | 22.700001 | −0.016798 | 0.020874 | −0.039165 |