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    基于RBF网络的汽轮机运行经济指标监测

    Monitoring of economic indicators for steam turbine operation based on RBF network

    • 摘要: 汽轮机本体与回热系统之间存在较强的耦合性,在线计算汽轮机经济运行指标应达值存在较大的困难。为进一步分析现有的利用推广线性回归方法建立汽轮机经济运行指标应达值数学模型存在的问题并得到更精确的计算方法。探讨采用RBF网络建立汽轮机运行经济指标应达值模型的方法,并与常规的线性回归和非线性回归线性模型进行比较。结果表明,RBF网络模型收敛速度快,误差小,比常规的线性回归和非线性回归线性模型计算精度高,为汽轮机运行经济性能评价提出了一种准确、简单的方法。

       

      Abstract: There is a strong coupling between the steam turbine body and the regenerative system, which makes it extremely difficult to calculate the due value of economic operation indicators of steam turbines online. This paper further analyzes the problems existing in the existing mathematical model for establishing the due value of steam turbine economic operation indicators by using the generalized linear regression method. The paper discusses the method of establishing the due value model of steam turbine operation economic indicators by using RBF network, and compares it with the conventional linear regression and nonlinear regression linear models. The results show that the RBF network model has a fast convergence speed and small error, providing an accurate and simple method for evaluating the economic performance of steam turbine operation.

       

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