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为了改善主元分析对带噪声过程的监测性能,本文结合小波包分析消噪性能与主元分析提取变量间相关性能的特点,提出了一种小波包主元分析方法。给出了基于小波包主元分析的过程监测的算法实现。并在此基础上,对 TE 过程进行了监测性能仿真。结果表明小波包主元分析方法有较好的监测性能。
In order to improve the monitoring performance of principal component analysis on noisy process, this paper presents a wavelet packet principal component analysis method based on wavelet packet analysis denoising performance and principal component analysis to extract the correlation performance between variables. The algorithm realization of process monitoring based on wavelet packet principal component analysis is given. And on this basis, the TE process was monitored performance simulation. The results show that the wavelet packet principal component analysis method has better performance.