基于自适应局部离群概率的动态过程监控(英文)

基于自适应局部离群概率的动态过程监控(英文)
马玉鑫;侍洪波;王梦灵
【期刊名称】《中国化学工程学报：英文版》
【年(卷),期】2014(22)7
【摘要】Complex industrial processes often have multiple operating modes and present time-varying behavior. The data in one mode may follow specific Gaussian or non-Gaussian distributions. In this paper, a numerically efficient moving window local outlier probability algorithm is proposed. Its key feature is the capability to handle complex data distributions and incursive operating condition changes including slow dynamic variations and instant mode shifts. First, a two-step adaption approach is introduced and some designed updating rules are applied to keep the monitoring model up-to-date. Then, a semi-supervised monitoring strategy is developed with an updating switch rule to deal with mode changes. Based on local probability models, the algorithm has a superior ability in detecting faulty conditions and fast adapting to slow variations and new operating modes. Finally, the utility of the proposed method is demonstrated with a numerical example and a non-isothermal continuous stirred tank reactor.
【总页数】8页(P820-827)
【关键词】异常概率;过程监控;自适应;连续搅拌釜式反应器;非高斯分布;概率算法;监测模型;工业过程
【作者】马玉鑫;侍洪波;王梦灵
【作者单位】Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology
【正文语种】中文
【中图分类】TP277;P315.72
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