Based on the electrical capatitance tomography tehnique, a voidage measurment system that can implement a voidagedistribution display and voidage measurement of a gas-solid fluidized bed sumultaneously is developed. The back projection algorithm is selected as the image reconstruction algorithm to satisfy the requeiremnt of voidage distribution display. Combining the Tikhnovregularization principle with the ART algorithm. A new quantitiative hybrid image reconstruction algorithm is presented to implement the voidage measurement of a gas-solide fluidized.Experimental results show that the developed measurement sysytem is successful. The speed of image reconstruction of voidage distribution is greater than 20 frames per second. The maximum error of voidage measurement can be less than 5%.

提出了一种基于高阶统计量进行气固流化床流化状态分析的新方法。通过对气固流化床压力波动信号的非高斯性检验，验证了压力波动信号的非高斯性，并以双谱幅值的平均值为特征值，得到了不同流化状态下压力波动信号偏离高斯分布的程度。同时利用高阶谱分析方法对压力波动信号进行分析，讨论了不同流化状态下信号的双谱特性。研究结果表明，利用高阶谱分析方法对气固流化床流化状态进行分析，可以获得更多的关于流化状态的有用信息。

电阻层析成像传感器的敏感场是软场，受被测介质的影响。利用作者建立的ERT仿真软件为工具，通过多种介质分布下灵敏度分布的计算与比较，研究了传感器的软场特性。结果表明，不同的介质分布可导致灵敏度有正、负百分之几十的变化。各处灵敏度变化不仅与场域内介质有关，还与该点在灵敏场中所处的位置关。

基于电容层析成像和模糊模式识别技术别提出了一种油气两相流流型辨识的新方法。建立了12电极电容层 析成像流型自动识别系统，该系统利用Tikhonov正则化原理并结合SIRT（Simultaneous Reconstruction Techniques）算法进行图像重建。Tikhonov正则化原理用于克服图像重建过程中的不适定问题，SIRT算法用于提高最终重建图像的质量。根据流型的随机和模糊特性，提出了一种根据管截面重建图像进行流型辨识的模糊流型判别方法。研究结果表明，提出的流型辨识新方法是有效的。对于层状流、核心流、环状流、均相流等流型，流型辨识的准确率高于95%，辨识一个流型所用的时间小于0.3 秒。对于塞状流，流型辨识的准确率高于90%。

Based on wavelet analysis, fractal theory and ECT (Electrical CapacitanceTomography) technique, a soft-sensing system of gas-solid fluidized bed is established, which can implement the on-line identificatin and the monitoring of the flow regime, and also can measure he voidage of the gas-solid fluidized bed. In this system, wavelet analysis and fractal theory are signals. of pressure flucturation; a 12-electrode ECT system is used to display the flow state and calculate the voidage of gas-solid fluidizd bed by suing a novel image reconstruction algorithm. Experimental results show that the soft-sensing system is effective. It can improve the accuracy of identification of flow regime and can measure voidage of gas-solid fluidized bed with an error less than 5%.