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

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1376-1381
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	15
Issue number	C
DOIs	https://doi.org/10.1016/S1570-7946(03)80502-3
Publication status	Published - 2003

All Science Journal Classification (ASJC) codes

Chemical Engineering(all)
Computer Science Applications

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10.1016/S1570-7946(03)80502-3

Cite this

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title = "Multi-variate run rules",

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}",

year = "2003",

doi = "10.1016/S1570-7946(03)80502-3",

language = "English",

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AU - Tsai, Chi Hsiang

AU - Wang, Sheng You

AU - Chang, Chuei Tin

AU - Huang, Shih Hung

PY - 2003

Y1 - 2003

N2 - 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.

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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U2 - 10.1016/S1570-7946(03)80502-3

DO - 10.1016/S1570-7946(03)80502-3

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SP - 1376

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JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

IS - C

ER -

Multi-variate run rules

Abstract

All Science Journal Classification (ASJC) codes

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