Optimal sampling strategy of COD sensor

85 p.

Detalhes bibliográficos
Autor principal: Yao, Li.
Outros Autores: Cai Wenjian
Formato: Tese
Publicado em: 2010
Assuntos:
Acesso em linha:http://hdl.handle.net/10356/39077
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author Yao, Li.
author2 Cai Wenjian
author_facet Cai Wenjian
Yao, Li.
author_sort Yao, Li.
collection NTU
description 85 p.
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institution Nanyang Technological University
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spelling ntu-10356/390772023-07-04T15:26:56Z Optimal sampling strategy of COD sensor Yao, Li. Cai Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering 85 p. Chemical Oxygen Demand (COD) which reflects the total pollution load of waste water or industrial waste is considered to be one of the most important parameters in waste water and waste chemical treatment processes. However, the determination of COD is very difficult which needs at least 2 hours by the standard method. Therefore, the development of a simple, accurate, yet fast COD determination method is very significant for the environmental monitoring and control. Master of Science (Computer Control and Automation) 2010-05-21T04:40:06Z 2010-05-21T04:40:06Z 2007 2007 Thesis http://hdl.handle.net/10356/39077 application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Yao, Li.
Optimal sampling strategy of COD sensor
title Optimal sampling strategy of COD sensor
title_full Optimal sampling strategy of COD sensor
title_fullStr Optimal sampling strategy of COD sensor
title_full_unstemmed Optimal sampling strategy of COD sensor
title_short Optimal sampling strategy of COD sensor
title_sort optimal sampling strategy of cod sensor
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
url http://hdl.handle.net/10356/39077
work_keys_str_mv AT yaoli optimalsamplingstrategyofcodsensor