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Recursive-CPLS-Based Quality-Relevant and Process-Relevant Fault Monitoring With Application to the Tennessee Eastman Process

机译：基于RECUSIVE-CPLS的质量相关和过程相关的故障监测，应用于田纳西州伊斯曼流程

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Changhua Hu; Zhongying Xu; Xiangyu Kong; Jiayu Luo;
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1. Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process [J] . Jie Dong, Kai Zhang, Ya Huang, Neurocomputing . 2015,第apra22期

机译：基于自适应总PLS的质量相关过程监控，并应用于田纳西伊士曼过程
2. Quality-Relevant and Process-Relevant Fault Monitoring with Concurrent Projection to Latent Structures [J] . S. Joe Qin, Yingying Zheng AIChE Journal . 2013,第2期

机译：与质量和过程相关的故障监控，同时投影到潜在结构
3. An improved plant-wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring: Application on the new revised model of Tennessee Eastman process [J] . Bakdi Azzeddine, Kouadri Abdelmalek Journal of Chemometrics . 2018,第5期

机译：一种改进的基于PCA的植物 - 宽故障检测方案和可靠过程监测的自适应阈值：在田纳西州伊斯曼进程新修订模型中的应用
4. Generic framework for hybrid fault diagnosis and health monitoring of the Tennessee Eastman Process [C] . Khaoula Tidriri, Nizar Chatti, Sylvain Verron, International conference on control, automation and systems . 2017

机译：田纳西州伊士曼过程的混合故障诊断和健康监控的通用框架
5. Stationary and non-stationary process condition monitoring and fault diagnosis and its application to drilling processes. [D] . Gu, Shuxin. 1997

机译：固定和非固定过程状态监视和故障诊断及其在钻井过程中的应用。
6. EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings [O] . Cai Yi, Dong Wang, Wei Fan, 2018

机译：基于EEMD的稳态指标及其在铁路轴瓦状态监测与故障诊断中的应用
7. Neural networks for process monitoring, control and fault detection: Application to Tennessee Eastman Plant [O] . Ahmad Arshad, Abd. Hamid Mohd. Kamaruddin 2001

机译：用于过程监控，控制和故障检测的神经网络：在田纳西州伊士曼工厂的应用
8. Control Technology Assessment of Chemical Processes, Preliminary Survey Report, Tennessee Eastman Company, Kingsport, Tennessee. Site Visit of September 2, 1981 [R] . 1982

机译：化学过程控制技术评估，初步调查报告，田纳西伊士曼公司，田纳西州金斯波特。 1981年9月2日实地考察

Recursive-CPLS-Based Quality-Relevant and Process-Relevant Fault Monitoring With Application to the Tennessee Eastman Process

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