Thermal parameter estimation and temperature prediction on MOSFET Thermal Dataset Case A14_2 (test)
1,114.24h_nn (W/m2K)sequential training method
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| sequential training methodTrial=3, Training data=Using Face and Side Data, Qin=151.8 W, r=0.005 mm, Cp=4188.5 J/kg-K, rho=999.1 kg/m32026.02 | 1,114.24 | 0.72 | 21.24 | 21.25 | 23.44 | 23.37 | 21.97 | 22.43 | 20.73 | 22.35 | |
| sequential training methodTrial=Mean, Training data=Using Face and Side Data, Qin=151.8 W, r=0.005 mm, Cp=4188.5 J/kg-K, rho=999.1 kg/m32026.02 | 1,023.79 | 0.737 | 21.24 | 21.25 | 23.44 | 23.37 | 22.03 | 22.43 | 20.68 | 22.35 | |
| sequential training methodTrial=2, Training data=Using Face and Side Data, Qin=151.8 W, r=0.005 mm, Cp=4188.5 J/kg-K, rho=999.1 kg/m32026.02 | 1,013.64 | 0.756 | 21.24 | 21.25 | 23.44 | 23.37 | 22.04 | 22.43 | 20.68 | 22.35 | |
| sequential training methodTrial=1, Training data=Using Face and Side Data, Qin=151.8 W, r=0.005 mm, Cp=4188.5 J/kg-K, rho=999.1 kg/m32026.02 | 943.48 | 0.736 | 21.24 | 21.25 | 23.44 | 23.37 | 22.09 | 22.43 | 20.65 | 22.35 |