Integrating physically based simulators with Event Detection Systems: Multi-site detection approach

Mashor Housh, Ziv Ohar

Research output: Contribution to journalArticlepeer-review

Abstract

The Fault Detection (FD) Problem in control theory concerns of monitoring a system to identify when a fault has occurred. Two approaches can be distinguished for the FD: Signal processing based FD and Model-based FD. The former concerns of developing algorithms to directly infer faults from sensors’ readings, while the latter uses a simulation model of the real-system to analyze the discrepancy between sensors’ readings and expected values from the simulation model. Most contamination Event Detection Systems (EDSs) for water distribution systems have followed the signal processing based FD, which relies on analyzing the signals from monitoring stations independently of each other, rather than evaluating all stations simultaneously within an integrated network. In this study, we show that a model-based EDS which utilizes a physically based water quality and hydraulics simulation models, can outperform the signal processing based EDS. We also show that the model-based EDS can facilitate the development of a Multi-Site EDS (MSEDS), which analyzes the data from all the monitoring stations simultaneously within an integrated network. The advantage of the joint analysis in the MSEDS is expressed by increased detection accuracy (higher true positive alarms and fewer false alarms) and shorter detection time.

Original languageEnglish
Pages (from-to)180-191
Number of pages12
JournalWater Research
Volume110
DOIs
StatePublished - 1 Mar 2017

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd

Keywords

  • Model-based EDS
  • Multi-site Event Detection
  • Spatial contamination simulation
  • Water distribution systems
  • Water quality
  • Water security

ASJC Scopus subject areas

  • Water Science and Technology
  • Ecological Modeling
  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Civil and Structural Engineering

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