火电机组再热汽温时间序列的混沌特性分析
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摘要
根据混沌理论及其相关的研究方法,针对某火电机组再热汽温数据序列资料,通过相空间重构技术计算表征其特征的参数———关联维数和最大Lyapunov指数,揭示了再热汽温变化的混沌动力学特性,为建立再热汽温模型及再热汽温精确预测提供了新的思路。
Based on chaotic theory and related research methods, and directing against data sequence materials of reheated steam tempe-rature for one thermal powergeneration unit, the parameters, such as correlational dimensions and the max. Lyapunov index, representing characteristics of the reheated steam have been calculated by using the phasespace rebuilding technology, the chaotic dynamics performance of the reheated steam temperature being revealed, providing new thinking for establishing the reheated steam temperature model and for accurate prediction of the said temperature.
引文
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