DSpace@nitr: Item 2080/1727

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1727

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DC Field	Value	Language
contributor.author	Kavuri, C	-
contributor.author	Kundu, M	-
date.accessioned	2012-07-31T04:58:39Z	-
date.available	2012-07-31T04:58:39Z	-
date.issued	2012-07	-
identifier.citation	ICMS2012: ‘International conference on Modeling and Simulation’ held in Zurich,Switzerland during July 5-6, 2012.	en
identifier.uri	http://hdl.handle.net/2080/1727	-
description	Copyright belongs to proceeding publisher	en
description.abstract	Phenol, one of the major organic pollutants from paper and pulp, pharmaceutical, iron-steel, coke- petroleum, and paint industry was degraded by heterotrophic bacteria Pseudomonas putida (ATCC: 11172). In a batch reactor, four parameters namely temperature, pH, RPM and phenol dosage were varied systematically to generate three time series data set which were being used for process identification using ARX model along with univariate and multivariate statistical monitoring of phenol degradation process. Different SPC (Statistical Process Control) charts and PCA (Principal Component Analysis) were used for monitoring the process of phenol degradation; hence, identification of abnormal process conditions leading to faulty situations.	en
format.extent	1796564 bytes	-
format.mimetype	application/pdf	-
language.iso	en	-
subject	ARX	en
subject	PCA	en
subject	Phenol	en
subject	Pseudomonas putida	en
subject	SPC	en
title	Bio-degradation of Phenol: Identification and Monitoring	en
type	Article	en
Appears in Collections:	Conference Papers

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