Online monitoring of chromium sludge recycling process using recursive MPCA

Author

Damarla, S.K. ; Kundu, Madhusree

Author_Institution

Dept. of Chem. Eng., NIT Rourkela, Rourkela, India

fYear

2012

fDate

13-15 Dec. 2012

Firstpage

11

Lastpage

15

Abstract

In this paper, recursive multi-way principal component analysis (MPCA) is applied to the batches of chromium sludge recycling process for the detection of faults without false alarms. The data matrix is being augmented sample wise to reflect the process changes in MPCA. Multivariate statistical process control (MVSPC) techniques; Hotelling´s T and squared prediction error; Q, based on PCA have facilitated the analysis of successful and unsuccessful batches. The results have shown that the faults were very quickly identified.

Keywords

fault diagnosis; principal component analysis; process monitoring; recycling; sludge treatment; statistical process control; Hotelling´s T²; chromium sludge recycling process batches; data matrix; fault detection; multivariate statistical process control techniques; online monitoring; recursive MPCA; recursive multiway principal component analysis; squared prediction error; PCA; fault detection; multi-way PCA; online process monitoring; recursive MPCA;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-4633-7

Type

conf

DOI

10.1109/ICETEEEM.2012.6494435

Filename

6494435