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The spectrum selective method proposed has improved the image quality of hot parts.
The validity of the method proposed has been verified by comparison of the numerical values calculated with those obtained by testing real fuses.
The method proposed has been applied to develop a Soft Sensor for the estimation of the Freezing Point of Kerosene in an atmospheric distillation unit (Topping) working in a refinery in Sicily, Italy.
The method proposed has several limitations.
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All the methods proposed have been validated through simulation and experimental results.
The analytical results for accuracy and precision show that the methods proposed have good repeatability and reproducibility.
The method we propose has a significant advantage in that it is robust to population stratification.
The method we propose has some advantages.
Minimum life obtained with the method proposed here has a zero probability of failure.
Compared with the quadratic approximation method, the proposed method has more accuracy.
Compared with the Monte Carlo (MC) method, the proposed method has a good fitting precision.
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