【24h】

Building and updating Independent Component Analysis model in dual rate system

机译:双速率系统中独立成分分析模型的建立和更新

获取原文

摘要

Independent Component Analysis (ICA) is a simple,powerful tool for analyzing multi-variant data to find abnormal on process monitoring.Traditional ICA algorithm is implemented on the consumption of only one sampling rate in the control system.However,there are a few multi rate control systems that could not apply the primitive ICA algorithm to the surveillance of industrial process.Several approaches of multivariate statistical modelling ICA are presented on dual rate system whose variables are correlated each other in this paper.Furthermore,a strategy of updating ICA model on the dual rate system is also suggested with restricted number of new samples to replace the equally number of earliest one.The simulation results verify the capability of the modelling and updating ICA on dual rate system with their calculated statistics.
机译:独立成分分析(ICA)是一种用于分析多变量数据以在过程监视中发现异常的简单而强大的工具。传统ICA算法是在控制系统中仅消耗一种采样率的情况下实现的。率控制系统无法将原始ICA算法应用于工业过程的监视。本文针对变量相互关联的双率系统,提出了多元统计建模ICA的几种方法。仿真结果验证了双速率系统建模和更新ICA的能力,并通过计算得到的统计数据验证了双速率系统的建模和更新能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号