High-Dimensional Process Monitoring and Fault Isolation via Variable Selection

Wang Kaibo; Jiang Wei

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High-Dimensional Process Monitoring and Fault Isolation via Variable Selection

机译：通过变量选择进行高维过程监控和故障隔离

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来源
《Journal of Quality Technology》 |2009年第3期|p.247-258|共12页
作者
Wang Kaibo; Jiang Wei;
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原文格式 PDF
正文语种 eng
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关键词
Studies; Total quality; Multivariate analysis; Statistical process control; Fault diagnosis; Control charts;

机译：研究;总质量;多元分析;统计过程控制;故障诊断;控制图;

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1. High Dimensional Process Monitoring and Fault Isolation via Variable Selection [J] . KAIBO WANG, WEI JIANG Journal of Quality Technology . 2009,第3期

机译：通过变量选择进行高维过程监控和故障隔离
2. Multivariate fault isolation of batch processes via variable selection in partial least squares discriminant analysis [J] . Zhengbing Yan, Te-Hui Kuang, Yuan Yao ISA Transactions . 2017,第期

机译：通过局部最小二乘判别分析的变量选择多变量批处理过程
3. Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability [J] . Dehao Wu, Donghua Zhou, Jingxin Zhang, Computers & Chemical Engineering . 2020,第May8期

机译：基于故障相关变量选择和移动窗口负对数似然概率的多模式过程监控
4. Application of CART-Based Variable Ranking for Faulty Variable Isolation in Tennessee Eastman Benchmark Process [C] . Jungwon Yu, Jonggeun Kim, Hansoo Lee, 2019 IEEE International Conference on Industrial Technology . 2019

机译：基于CART的变量排序在田纳西伊士曼基准测试过程中错误变量隔离中的应用
5. Pre-processing methods and stepwise variable selection for binary classification of high-dimensional data. [D] . Ramachandar, Shahla. 2010

机译：高维数据二进制分类的预处理方法和逐步变量选择。
6. Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection [O] . Melis Onel, Chris A. Kieslich, Yannis A. Guzman, -1

机译：大数据方法用于批处理过程监控：使用基于非线性支持向量机的特征选择同时进行故障检测和诊断
7. High-Dimensional Process Monitoring and Fault Isolation via Variable Selection [O] . Kaibo Wang, Wei Jiang 2009

机译：通过变量选择进行高维过程监控和故障隔离

High-Dimensional Process Monitoring and Fault Isolation via Variable Selection

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