Published June 30, 2024 | Version v1
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Temperature Compensation Method for Resistive Pressure Sensor Based on Random Forest Algorithm

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Pressure sensors play a crucial role in various industries, especially in the industrial sector. However, due to their inherent temperature drift characteristics, the measurement results may not be accurate enough, leading to the inability to achieve precise control over equipment and production processes. Therefore, temperature compensation for the measurement results is essential. Commonly used temperature compensation methods include interpolation, BP neural networks, etc., but their calculations are relatively complex. In this paper, we propose a temperature compensation method for pressure sensors based on the random forest algorithm. This algorithm can handle complex data more quickly and accurately. Simulation results demonstrate the effectiveness and reliability of this algorithm.

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