A simple algorithm for on‐line prediction of BOD5 by a microprocessor‐based system

Roni Raviv; Sam Ben‐Yaakov

doi:10.1002/bit.260261014

A simple algorithm for on‐line prediction of BOD₅ by a microprocessor‐based system

Roni Raviv, Sam Ben‐Yaakov

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A novel algorithm for predicting BOD₅ from the dissolved oxygen (DO) concentration after a relatively short incubation period is presented and evaluated experimentally. Test runs on synthetic and experimentally derived raw data suggest that BOD₅ can be predicted to within 15% ca. 36 h. The method can be improved by filtering out, via a digital filter, noise from the raw data. The suggested algorithm does not require elaborate computations or large data storage and can therefore be implemented on a low‐cost microcomputer for fast on‐line determination of BOD₅.

Original language	English
Pages (from-to)	1239-1244
Number of pages	6
Journal	Biotechnology and Bioengineering
Volume	26
Issue number	10
DOIs	https://doi.org/10.1002/bit.260261014
State	Published - 1 Jan 1984

ASJC Scopus subject areas

Biotechnology
Bioengineering
Applied Microbiology and Biotechnology

Access to Document

10.1002/bit.260261014

Cite this

@article{775453752ad74dbba8451b7515ca9dac,

title = "A simple algorithm for on‐line prediction of BOD5 by a microprocessor‐based system",

abstract = "A novel algorithm for predicting BOD5 from the dissolved oxygen (DO) concentration after a relatively short incubation period is presented and evaluated experimentally. Test runs on synthetic and experimentally derived raw data suggest that BOD5 can be predicted to within 15% ca. 36 h. The method can be improved by filtering out, via a digital filter, noise from the raw data. The suggested algorithm does not require elaborate computations or large data storage and can therefore be implemented on a low‐cost microcomputer for fast on‐line determination of BOD5.",

author = "Roni Raviv and Sam Ben‐Yaakov",

year = "1984",

month = jan,

day = "1",

doi = "10.1002/bit.260261014",

language = "English",

volume = "26",

pages = "1239--1244",

journal = "Biotechnology and Bioengineering",

issn = "0006-3592",

publisher = "Wiley-VCH Verlag",

number = "10",

}

TY - JOUR

T1 - A simple algorithm for on‐line prediction of BOD5 by a microprocessor‐based system

AU - Raviv, Roni

AU - Ben‐Yaakov, Sam

PY - 1984/1/1

Y1 - 1984/1/1

N2 - A novel algorithm for predicting BOD5 from the dissolved oxygen (DO) concentration after a relatively short incubation period is presented and evaluated experimentally. Test runs on synthetic and experimentally derived raw data suggest that BOD5 can be predicted to within 15% ca. 36 h. The method can be improved by filtering out, via a digital filter, noise from the raw data. The suggested algorithm does not require elaborate computations or large data storage and can therefore be implemented on a low‐cost microcomputer for fast on‐line determination of BOD5.

AB - A novel algorithm for predicting BOD5 from the dissolved oxygen (DO) concentration after a relatively short incubation period is presented and evaluated experimentally. Test runs on synthetic and experimentally derived raw data suggest that BOD5 can be predicted to within 15% ca. 36 h. The method can be improved by filtering out, via a digital filter, noise from the raw data. The suggested algorithm does not require elaborate computations or large data storage and can therefore be implemented on a low‐cost microcomputer for fast on‐line determination of BOD5.

UR - http://www.scopus.com/inward/record.url?scp=0021503807&partnerID=8YFLogxK

U2 - 10.1002/bit.260261014

DO - 10.1002/bit.260261014

M3 - Article

AN - SCOPUS:0021503807

SN - 0006-3592

VL - 26

SP - 1239

EP - 1244

JO - Biotechnology and Bioengineering

JF - Biotechnology and Bioengineering

IS - 10

ER -

A simple algorithm for on‐line prediction of BOD₅ by a microprocessor‐based system

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this