Title :
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
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;
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
DOI :
10.1109/ICETEEEM.2012.6494435
