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本文提出了一种基于高阶统计量进行气固流化床流化状态辨识的新方法。通过对气固流化床压力波动信号的非高斯性检验 ,得到了不同流化状态下压力波动信号偏离高斯性的程度 ,同时也讨论了不同流化状态下信号的双谱特性。研究结果表明 ,该方法可以对气固流化床流化状态进行有效的辨识
In this paper, a new method for fluidized bed fluidization state identification based on high-order statistics is proposed. Through the non-Gaussian test of the pressure fluctuation signal of gas-solid fluidized bed, the deviation of Gaussianity of pressure fluctuation signal under different fluidization conditions was obtained. The bispectrum characteristics of the signal under different fluidization conditions were also discussed. The results show that this method can effectively identify the fluidized state of gas-solid fluidized bed