常鹏,王普,高学金

• 1:北京工业大学电子信息与控制工程学院

摘要(Abstract)：

针对多向核主元分析法(MKPCA)在监控动态非线性和多模态间歇生产过程故障的不足,提出一种基于物理信息熵的多阶段多向核熵成分分析(multiple sub-stage multi-way kernel entropy component analysis,MSMKECA)的新方法用于故障监控。该方法首先通过核映射将数据从低维空间映射到高维特征空间;其次在高维特征空间依据熵结构信息计算每个时刻数据矩阵的相似度指标进行阶段划分,将间歇过程划分为各稳定阶段和各过渡阶段,并在过渡阶段用时变的协方差代替固定协方差;最后在划分的阶段里分别建立模型进行间歇过程监测解决间歇过程的动态非线性和多阶段特性;将所提出的算法应用于青霉素发酵仿真系统的在线监测,验证了该方法的有效性。

关键词(KeyWords)： 间歇过程;多向核主元分析;多向核熵成分分析;阶段划分;故障监测

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(61174109,61364009);; 高等学校博士学科点专项科研基金(20101103110009)

作者(Author): 常鹏,王普,高学金

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