Minimum volume ellipsoid classification model for contamination event detection in water distribution systems

N. Oliker; Avi Ostfeld

doi:10.1016/j.proeng.2014.02.141

Minimum volume ellipsoid classification model for contamination event detection in water distribution systems

N. Oliker, Avi Ostfeld

Technion - Israel Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

The presented study features a decision support system, alerting for contamination events in water distribution system (WDS). The developed model consist two modular elements: minimum volume ellipsoid (MVE) detecting outlier's measurements, and a following sequence analysis classifying contamination events. This study performs multi-dimensional analysis of the data that differs from the parallel one-dimensional analysis conducted so far. The application of an unsupervised classification method in the model eliminates the use of unfounded simulated events for the classifier construction and contributes its reliability and generality. The model was applied on a real WDS data, and showed high accuracy and detection ability.

Original language	English
Pages (from-to)	1280-1288
Number of pages	9
Journal	Procedia Engineering
Volume	70
DOIs	https://doi.org/10.1016/j.proeng.2014.02.141
State	Published - 2014
Event	12th International Conference on Computing and Control for the Water Industry, CCWI 2013 - Perugia, Italy Duration: 2 Sep 2013 → 4 Sep 2013

Keywords

Event detection
Minimum volume ellipsoid
Water distribution systems
Water quality
Water security

All Science Journal Classification (ASJC) codes

General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.proeng.2014.02.141

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title = "Minimum volume ellipsoid classification model for contamination event detection in water distribution systems",

abstract = "The presented study features a decision support system, alerting for contamination events in water distribution system (WDS). The developed model consist two modular elements: minimum volume ellipsoid (MVE) detecting outlier's measurements, and a following sequence analysis classifying contamination events. This study performs multi-dimensional analysis of the data that differs from the parallel one-dimensional analysis conducted so far. The application of an unsupervised classification method in the model eliminates the use of unfounded simulated events for the classifier construction and contributes its reliability and generality. The model was applied on a real WDS data, and showed high accuracy and detection ability.",

keywords = "Event detection, Minimum volume ellipsoid, Water distribution systems, Water quality, Water security",

author = "N. Oliker and Avi Ostfeld",

year = "2014",

doi = "10.1016/j.proeng.2014.02.141",

language = "الإنجليزيّة",

volume = "70",

pages = "1280--1288",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier BV",

note = "12th International Conference on Computing and Control for the Water Industry, CCWI 2013 ; Conference date: 02-09-2013 Through 04-09-2013",

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TY - JOUR

T1 - Minimum volume ellipsoid classification model for contamination event detection in water distribution systems

AU - Oliker, N.

AU - Ostfeld, Avi

PY - 2014

Y1 - 2014

N2 - The presented study features a decision support system, alerting for contamination events in water distribution system (WDS). The developed model consist two modular elements: minimum volume ellipsoid (MVE) detecting outlier's measurements, and a following sequence analysis classifying contamination events. This study performs multi-dimensional analysis of the data that differs from the parallel one-dimensional analysis conducted so far. The application of an unsupervised classification method in the model eliminates the use of unfounded simulated events for the classifier construction and contributes its reliability and generality. The model was applied on a real WDS data, and showed high accuracy and detection ability.

AB - The presented study features a decision support system, alerting for contamination events in water distribution system (WDS). The developed model consist two modular elements: minimum volume ellipsoid (MVE) detecting outlier's measurements, and a following sequence analysis classifying contamination events. This study performs multi-dimensional analysis of the data that differs from the parallel one-dimensional analysis conducted so far. The application of an unsupervised classification method in the model eliminates the use of unfounded simulated events for the classifier construction and contributes its reliability and generality. The model was applied on a real WDS data, and showed high accuracy and detection ability.

KW - Event detection

KW - Minimum volume ellipsoid

KW - Water distribution systems

KW - Water quality

KW - Water security

UR - http://www.scopus.com/inward/record.url?scp=84899674594&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2014.02.141

DO - 10.1016/j.proeng.2014.02.141

M3 - مقالة من مؤنمر

SN - 1877-7058

VL - 70

SP - 1280

EP - 1288

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 12th International Conference on Computing and Control for the Water Industry, CCWI 2013

Y2 - 2 September 2013 through 4 September 2013

ER -

Minimum volume ellipsoid classification model for contamination event detection in water distribution systems

Abstract

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

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