Application of information technology to decision support in treatment plant operation

Gustaf Olsson; B Newell; Christian Rosén; P Ingildsen

Application of information technology to decision support in treatment plant operation

Gustaf Olsson, B Newell, Christian Rosén, P Ingildsen

Industrial Electrical Engineering and Automation

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

Abstract

This paper reviews decision support methodologies that can be applied to treatment plants. Case studies of decision support systems (DSS) that have been developed and used or trialled are presented below. These include rule-based systems and systems based on digraphs of cause-and-effect relationships. Detection examples on real plant data are presented, in one case using direct measurements and simple detectors and in another using multivariate statistics and clustering.

Original language	English
Pages (from-to)	35-42
Journal	Water Science and Technology
Volume	47
Issue number	12
Publication status	Published - 2003

Subject classification (UKÄ)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

wastewater treatment
diagnosis
decision support
detection

1 Paper in conference proceeding

Application of Information Technology to Decision Support in Treatment Plant Operation
Olsson, G., Newell, R. B., Rosén, C. & Ingildsen, P., 2002, [Host publication title missing]. IWA Publishing
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Cite this

@article{f65d1aa6a62440c3a948d5d4f62f06b4,

title = "Application of information technology to decision support in treatment plant operation",

abstract = "This paper reviews decision support methodologies that can be applied to treatment plants. Case studies of decision support systems (DSS) that have been developed and used or trialled are presented below. These include rule-based systems and systems based on digraphs of cause-and-effect relationships. Detection examples on real plant data are presented, in one case using direct measurements and simple detectors and in another using multivariate statistics and clustering.",

keywords = "wastewater treatment, diagnosis, decision support, detection",

author = "Gustaf Olsson and B Newell and Christian Ros{\'e}n and P Ingildsen",

year = "2003",

language = "English",

volume = "47",

pages = "35--42",

journal = "Water Science and Technology",

issn = "0273-1223",

publisher = "IWA Publishing",

number = "12",

}

TY - JOUR

T1 - Application of information technology to decision support in treatment plant operation

AU - Olsson, Gustaf

AU - Newell, B

AU - Rosén, Christian

AU - Ingildsen, P

PY - 2003

Y1 - 2003

N2 - This paper reviews decision support methodologies that can be applied to treatment plants. Case studies of decision support systems (DSS) that have been developed and used or trialled are presented below. These include rule-based systems and systems based on digraphs of cause-and-effect relationships. Detection examples on real plant data are presented, in one case using direct measurements and simple detectors and in another using multivariate statistics and clustering.

AB - This paper reviews decision support methodologies that can be applied to treatment plants. Case studies of decision support systems (DSS) that have been developed and used or trialled are presented below. These include rule-based systems and systems based on digraphs of cause-and-effect relationships. Detection examples on real plant data are presented, in one case using direct measurements and simple detectors and in another using multivariate statistics and clustering.

KW - wastewater treatment

KW - diagnosis

KW - decision support

KW - detection

M3 - Article

SN - 0273-1223

VL - 47

SP - 35

EP - 42

JO - Water Science and Technology

JF - Water Science and Technology

IS - 12

ER -

Application of information technology to decision support in treatment plant operation

Abstract

Subject classification (UKÄ)

Free keywords

Fingerprint

Research output

Application of Information Technology to Decision Support in Treatment Plant Operation

Cite this