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The instrument fault detection and identification based on kernel principal component analysis and coupling analysis in process industry
Transactions of the Institute of Measurement and Control ( IF 1.7 ) Pub Date : 2020-10-01 , DOI: 10.1177/0142331220960247 Yanjie Liang 1 , Zhiyong Gao 1 , Jianmin Gao 1 , Guangnan Xu 1 , Rongxi Wang 1
Transactions of the Institute of Measurement and Control ( IF 1.7 ) Pub Date : 2020-10-01 , DOI: 10.1177/0142331220960247 Yanjie Liang 1 , Zhiyong Gao 1 , Jianmin Gao 1 , Guangnan Xu 1 , Rongxi Wang 1
Affiliation
This paper investigates the fault detection problem of instruments in process industry. Considering the difficulty of fault identification and the problems of multivariable and large computation co...
中文翻译：
基于核主成分分析和耦合分析的过程工业仪表故障检测与识别
本文研究了过程工业中仪表的故障检测问题。考虑到故障识别的难度和多变量、大计算量的问题，...
更新日期：2020-10-01
中文翻译：
基于核主成分分析和耦合分析的过程工业仪表故障检测与识别
本文研究了过程工业中仪表的故障检测问题。考虑到故障识别的难度和多变量、大计算量的问题，...
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