| 基于迭代主成分分析的过程监测方法的研究与实现 |
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| 引用本文： | 陆宁云,杨英华,王福利. 基于迭代主成分分析的过程监测方法的研究与实现[J]. 控制与决策, 2002, 17(2): 215-218 |
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| 作者姓名： | 陆宁云 杨英华 王福利 |
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| 作者单位： | 东北大学,信息科学与工程学院,辽宁,沈阳,110004 |
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| 摘 要： | 利用迭代主成分分析（PCA）算法，提出一种在线过程监测方法，根据实际生产过程经验，提供了由多元统计控制图判断过程是否正常的准则，实现了实时在线的PCA建模和过程监测，仿真例子验证了这种过程监测方法的有效性和可行性。
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| 关 键 词： | 多元统计控制图 迭代主成分分析 过程监测 故障检测 故障诊断 |
| 文章编号： | 1001-0920(2002)02-0215-04 |
| 修稿时间： | 2000-05-19 |
Research and implementation of process monitoring based on iterative principal component analysis(PCA) |
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| LU Ning yun,YANG Ying hua,WANG Fu li. Research and implementation of process monitoring based on iterative principal component analysis(PCA)[J]. Control and Decision, 2002, 17(2): 215-218 |
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| Authors: | LU Ning yun YANG Ying hua WANG Fu li |
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| Abstract: | A new method based on iterative PCA is presented to realize on line modeling and process monitoring. According to the operation experiences in real processes, some rules are proposed by which operator can judge whether the process is under control or not when monitoring the multivariate statistical control charts. The simulation shows the validity and feasibility of this method. |
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| Keywords: | multivariate statistical control chart iterative PCA process monitoring fault detection and diagnosis |
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