基于正交小波变换的化工生产过程数据分析

Chemical Process Data Analysis Based on Orthonormal Wavelet Transform

利用正交小波变换的时频分析及多尺度特点，基于函数逼近以及函数奇性分析的原理，提出了化工生产过程数据压缩及突变信号检测算法，理论分析和仿真研究证实了所提算法的可行性和有效性。

With the timefrequency and multi-scale characters of orthonormal wavelet transform, a new algorithm of data compression and singularity detection was proposed. The theoritical analysis and simulation results showed that it was feasible and effective.