Detecting Gross Errors for Steady State Systems

Congli Mei

Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Detecting Gross Errors for Steady State Systems

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@INPROCEEDINGS{10.1007/978-3-642-02469-6_71,
    author={Congli Mei},
    title={Detecting Gross Errors for Steady State Systems},
    proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
    proceedings_a={COMPLEX PART 2},
    year={2012},
    month={5},
    keywords={data reconciliation gross error detection equivalent set mixed integer optimization},
    doi={10.1007/978-3-642-02469-6_71}
}

Congli Mei
Year: 2012
Detecting Gross Errors for Steady State Systems
COMPLEX PART 2
Springer
DOI: 10.1007/978-3-642-02469-6_71

Congli Mei¹^,*

1: Jiangsu University

*Contact email: clmei@ujs.edu.cn

Abstract

Gross error detection is important to data reconciliation in process industry. In practice, gross errors cannot be identified exactly by any algorithm. The issue of unreasonable solutions of gross error detection algorithms is discussed. A novel mixed integer optimization method presented in a previous paper is used in this paper. A strategy is proposed to identify gross errors and its most possible alternatives for steady state systems by the method. Gross errors are identified without the need for measurements elimination. The computation results show the effectiveness of the proposed strategy.

Keywords: data reconciliation gross error detection equivalent set mixed integer optimization

Published: 2012-05-11

: http://dx.doi.org/10.1007/978-3-642-02469-6_71