EMD方法在热耗率性能监测中的应用

Application of Empirical Mode Decomposition in Online Monitoring of Heat Rate

针对热力参数波动造成热耗率性能监测结果产生波动的问题,借助于经验模态分解方法(EMD),可以有效地对数据进行平稳化处理。机组无论处于平衡态运行,还是非平衡态运行,通过依次滤除高频率的IMF分量,减小热耗率性能监测结果的波动幅度,最终展现机组性能的真实变化趋势,从而提高性能监测结果的准确性和可靠性。

Empirical mode decomposition can effectively smooth the turbine heat rate fluctuations which are caused by the fluctuations of thermodynamic parameters.No matter what kind of state the system is,equilibrium or non-equilibrium,by filtering high-frequency IMF component in order to reduce the fluctuations of heat rate,we can show the real changing performance of the system so that it can improve the accuracy and reliability of the turbine heat rate.