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- W2292269013 abstract "以便克服噪音的骚乱，这份报纸论述了一个方法用粒子群优化算法，非线性的瞎的来源分离和十字测量二阶段的流动速度关联方法。因为在在管道的电容传感器和液体的产量信号之间的非线性的关系，非线性的瞎的来源分离被使用。在非线性的瞎的来源分离，更高的顺序的奇怪的多项式被用来适合非线性的转变函数，并且分离信号的相互的信息被用作评估函数。然后，多项式和线性分离矩阵的参数能被分离信号和粒子群优化算法的相互的信息估计，因此，来源信号能与混合信号被分开。有从在上游、下游的传感器被获得的噪音的二阶段的流动信号被非线性的瞎的来源分离方法分别地处理以便噪音能有效地被移开。基于这些压制噪音的信号，因此，生气关联功能和运输时间的不同曲线被获得，然后二阶段的流动的速度能是精确地计算的。最后，模拟试验性的结果被给。结果证明了这个方法能满足二阶段的流动速度的测量要求。" @default.
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- W2292269013 date "2012-05-02" @default.
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- W2292269013 title "The Velocity Measurement of Two-phase Flow Based on Particle Swarm Optimization Algorithm and Nonlinear Blind Source Separation" @default.
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