DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1485

Title: Monitoring of Bioreactor using Statistical Techniques
Authors: Damarla, S K
Kundu, M
Keywords: PCA
moving window
Pattern matching
bioreactor
k-means clustering
Issue Date: Jun-2011
Publisher: International Science Congress Association
Citation: Research Journal of Chemical Sciences, Vol. 1(3) June (2011)
Abstract: Present study addresses the monitoring of a continuous bioreactor operation. New methodologies; based on clustering time series data and moving window based pattern matching have been proposed for the detection of fault in the chosen bioreactor process. A modified k-means clustering algorithm using similarity measure as a convergence criterion has been adopted for discriminating among time series data pertaining to various operating conditions. The proposed distance and PCA based combined similarity along with the moving window approach were used to discriminate among the normal operating conditions as well as detection of fault for the process taken up.
Description: Copyright for this paper belongs to International Science Congress Association
URI: http://hdl.handle.net/2080/1485
ISSN: 2231-606X
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
Monitoring of Bioreactor using Statistical Techniques.pdf103KbAdobe PDFView/Open

Show full item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback