基于响应面法的油气润滑ECT传感器优化设计

Optimal Design of Oil-air Lubricated ECT Sensor Based on Response Surface Method

摘要:

建立了油气润滑ECT传感器的基准三维物理模型；分析了管道厚度、电容极板长度、轴向屏蔽电极长度和径向屏蔽电极深度4个结构参数对传感器性能的影响并确定优化范围；通过灵敏度影响系数和电容响应比确立了传感器性能优化函数；采用响应面法对上述4个结构参数进行了优化设计。在此基础上以图像相对误差和图像相关系数为评价标准，对优化后传感器的重建图像质量进行了评判。研究结果表明，优化传感器得到的图像质量最高，图像相对误差平均降低了22.99%，图像相关系数平均提高了21.73%。

Abstract:

the reference 3D physical model of the oil-air lubricated ECT sensor is established; The influences of four structural parameters, namely the thickness of the pipeline, the length of the capacitive electrode, the length of the axial shielded electrode and the depth of the radial shielded electrode, on the performance of the sensor are analyzed and their optimization ranges are determined. The sensor performance optimization function is established by sensitivity influence coefficient and capacitance response ratio. The response surface method is used to optimize the design of the above four structural parameters. On this basis, through the relative error of image and the image correlation coefficient, the quality of the reconstructed image of the optimized sensor is evaluated to verify its reliability. The research results show that the image quality obtained by the optimized sensor is the highest, the relative error of image is decreased by 22.99% on average, and the image correlation coefficient is increased by 21.73% on average.