| 引用本文: | 孔祥玉,王晓兵,罗家宇,杨治艳.基于动态高效潜结构投影的质量相关故障检测[J].控制理论与应用,2021,38(12):2076~2084.[点击复制] |
| KONG Xiang-yu,WANG Xiao-bing,LUO Jiao-yu,YANG Zhi-yan.Quality-related fault detection based on dynamic efficient projection to latent structures[J].Control Theory and Technology,2021,38(12):2076~2084.[点击复制] |
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| 基于动态高效潜结构投影的质量相关故障检测 |
| Quality-related fault detection based on dynamic efficient projection to latent structures |
| 摘要点击 1088 全文点击 348 投稿时间：2020-09-02 修订日期：2021-01-20 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2021.00586 |
| 2021,38(12):2076-2084 |
| 中文关键词 数据驱动 自回归移动平均模型 偏最小二乘 动态系统 故障检测 田纳西伊斯曼过程 |
| 英文关键词 data-drive auto-regressive model partial least squares dynamic system fault detection Tennessee Eastman process |
| 基金项目 国家自然科学基金项目(61673387, 61833016), 陕西省自然科学基金项目(2020JM–356)资助. |
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| 中文摘要 |
| 高效潜结构投影(EPLS)算法是一种反映过程变量与质量变量相关关系的多变量统计分析方法, 在质量相
关故障检测中具有良好的检测效果. 然而EPLS算法是一种静态检测模型, 不能反映实际工业过程或装备测试中的
动态特性, 对动态过程中质量相关故障的检测率较低. 为此, 本文提出了一种基于自回归移动平均模型(ARMAX)的
动态高效潜结构投影(D–EPLS)检测算法. 该算法首先基于输入时滞值构建增广矩阵, 反映工业以及装备测试过程
中的动态特性; 然后将增广矩阵分解为质量相关和质量无关空间分别进行故障检测; 最后通过数值仿真和田纳西
伊斯曼过程(TEP)验证算法有效性. 实验结果表明所提算法能够更好的适应动态过程, 并全面提高了质量相关故障
的检测率. |
| 英文摘要 |
| Efficient projection to latent structures (EPLS) algorithm is a multivariate statistical analysis method to reflect
the correlation between process variables and quality variables, which performs well in quality-related fault detection.
However, since the EPLS algorithm is a static detection model, it cannot reflect the dynamic characteristics of the actual
industrial process or equipment testing, and the detection rate of quality-related faults in the dynamic process is low.
Therefore, this paper proposes a dynamic efficient projection to latent structures (D–EPLS) projection algorithm based on
the auto-regressive moving average exogenous (ARMAX) model. Firstly, an augmented matrix is constructed based on the
input delay value to reflect the dynamic characteristics . Secondly, the augmented matrix is decomposed into quality related
and unrelated spaces for fault detection respectly. Finally, numerical simulation and Tennessee Eastman process (TEP) are
used to verify the effectiveness of the D–EPLS algorithm. Experimental results show that the proposed algorithm can be
better adapted to the dynamic process and improve the detection rate of quality related faults. |
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