Detection of gross errors using mixed integer optimization approach in process industry

Journal of Zhejiang University: Science A

Volumn 8, Issue 6, 2007, Pages 904-909

  Mei, Cong Li ^a   Su, Hong Ye ^a   Chu, Jian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Data reconciliation; Detection of gross errors; Mixed integer linear programming (MILP); Novel MILP (NMILP) Quadratic programming (QP)

Indexed keywords

DATA REDUCTION; ERROR DETECTION; INTEGER PROGRAMMING; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION;

DATA RECONCILIATION; DETECTION OF GROSS ERRORS; MIXED INTEGER LINEAR PROGRAMMING (MILP); NOVEL MILP (NMILP) QUADRATIC PROGRAMMING (QP);

LINEAR PROGRAMMING;

EID: 34547320250     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.2007.A0904     Document Type: Article

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