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中文摘要：
本文利用12电极ECT系统提供的电容测量信息，基于主成分回归（PCR）和偏最小二乘回归（PLSR）技术，提出了一种油气两相流空隙率测量的新方法。该方法针对不同的油气两相流流型，分别基于PCR和PLSR建立两组空隙率测量模型。实际测量时，根据流型辨识结果分别选用相应的基于PCR的空隙率测量模型和基于PLSR的空隙率测量模型，通过计算获得空隙率值并进行对比。研究结果表明，本文提出的空隙率测量方法是有效的，两组空隙率测量模型的测量结果精度相当，在典型流型下的测量误差均在5％以内，但基于PLSR技术所获空隙率测量模型的降维效果优于基于PCR技术的相应模型。同时，由于该方法直接利用ECT系统提供的电容测量值来建立空隙率测量模型，省去了以往ECT系统测量空隙率所必需的复杂费时的图像重建过程，提高了空隙率测量的实时性，整个测量时间小于0．1s。
英文摘要：
A new method is proposed for the voidage measurement of gas-oil two-phase flow, based on principle component regression （PCR） and partial least squares regression （PLSR）, with the capacitances from 12-electrode Electrical Capacitance Tomography （ECT） system. The PCR and PLSR are used respectively to establish two groups of regression model between the capacitances and the voidage of the two-phase flow. In the voidage measurement process, according to the flow pattern identification result, a relative PCR based model and a relative PLSR based model are selected to calculate the voidage, and the voidage measurement results of these two groups of models are compared. Re- search work results show that the proposed method is effective. The maximum measurement errors are both less than 5%. Nevertheless, the dimensionality reduction of PLSR is more effective than that of PCR. The research work also shows that the real-time performance of the proposed voidage measurement method is satisfactory, because it implements the voidage measurement without the time-consuming image reconstruction process. The total voidage measurement time is less than 0.1s.
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