Multi-variate run rules

Chi Hsiang Tsai; Sheng You Wang; Chuei Tin Chang; Shih Hung Huang

doi:10.1016/S1570-7946(03)80502-3

Multi-variate run rules

Chi Hsiang Tsai, Sheng You Wang, Chuei Tin Chang, Shih Hung Huang

化學工程學系

研究成果: Article › 同行評審

摘要

To enhance the performance of single- and multi-variate process monitoring methods, a systematic procedure is proposed in this paper to construct run rules on-line. This procedure is in essence developed from the well-established principles for synthesizing optimal alarm generation logics. The effectiveness of this approach is demonstrated with simulation data produced with the Tennessee-Eastman process simulator.

原文	English
頁（從 - 到）	1376-1381
頁數	6
期刊	Computer Aided Chemical Engineering
卷	15
發行號	C
DOIs	https://doi.org/10.1016/S1570-7946(03)80502-3
出版狀態	Published - 2003

All Science Journal Classification (ASJC) codes

化學工程 (全部)
電腦科學應用

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10.1016/S1570-7946(03)80502-3

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abstract = "To enhance the performance of single- and multi-variate process monitoring methods, a systematic procedure is proposed in this paper to construct run rules on-line. This procedure is in essence developed from the well-established principles for synthesizing optimal alarm generation logics. The effectiveness of this approach is demonstrated with simulation data produced with the Tennessee-Eastman process simulator.",

author = "Tsai, {Chi Hsiang} and Wang, {Sheng You} and Chang, {Chuei Tin} and Huang, {Shih Hung}",

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AU - Chang, Chuei Tin

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AB - To enhance the performance of single- and multi-variate process monitoring methods, a systematic procedure is proposed in this paper to construct run rules on-line. This procedure is in essence developed from the well-established principles for synthesizing optimal alarm generation logics. The effectiveness of this approach is demonstrated with simulation data produced with the Tennessee-Eastman process simulator.

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JO - Computer Aided Chemical Engineering

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ER -

Multi-variate run rules

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