Just-in-time statistical process control for flexible fault management

Author

Kano, Manabu ; Sakata, Takeaki ; Hasebe, Shinji

Author_Institution

Dept. of Chem. Eng., Kyoto Univ., Kyoto, Japan

fYear

2010

fDate

18-21 Aug. 2010

Firstpage

1482

Lastpage

1485

Abstract

A new fault detection and identification method is proposed to solve the problems that obstruct industrial applications of multivariate statistical process control (MSPC) techniques. The proposed method, referred to as just-in-time statistical process control (JIT-SPC), can realize flexible, adaptive, high-performance process monitoring. In addition, fault identification can be done through contribution plot in the framework of JIT-SPC. The usefulness of JIT-SPC is demonstrated through a numerical example, which conventional methods cannot cope with, and a case study of the vinyl acetate monomer production plant.

Keywords

just-in-time; statistical process control; fault detection; fault identification method; flexible fault management; just-in-time statistical process control; multivariate statistical process control; vinyl acetate monomer production plant; Adaptation model; Distribution functions; Fault detection; Monitoring; Principal component analysis; Process control; Production; fault detection and isolation; just-in-time modeling; multivariate statistical process control;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference 2010, Proceedings of

Conference_Location

Taipei

Print_ISBN

978-1-4244-7642-8

Type

conf

Filename

5602246