数据流定性化方法研究

RESEARCH OF FORMING THE QUALITATIVE TREND FROM THE MEASUREMENT STREAM

数据流定性化处理 ,是在考虑噪声影响的情况下 ,对数据流进行处理 ,最终将数据流化分为单调变化的区段 .这是定性仿真应用中的一个关键问题 .本文在分析基于线性最小方差拟合的数据流定性化方法的基础上 ,改进其定性核心函数 .提出了基于偏度系数的数据流定性化方法 .并通过具体数据分析 。

The qualitative trend is generated through a process which breaks the measurement stream into monotonic segments. It is important for the applications of qualitative simulation. After analyzed the method which using linear least squared fit, we modified the qualitative kernel function and presented the method which using deflecting modulus. In the end of the article, we demonstrated the effectiveness of the method.