title: Integrating physically based simulators with Event Detection Systems: Multi-site detection approach.
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.
authors.affiliation: Faculty of Management, Department of Natural Resources and Environmental Management, University of Haifa, Haifa, Israel. Electronic address: mhoush@univ.haifa.ac.il.
authors.forename: Mashor
authors.initials: M
authors.lastname: Housh
authors.affiliation: Faculty of Management, Department of Natural Resources and Environmental Management, University of Haifa, Haifa, Israel.
authors.forename: Ziv
authors.initials: Z
authors.lastname: Ohar
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D060753:Water Quality
keywords: Model-based EDS; Multi-site Event Detection; Spatial contamination simulation; Water distribution systems; Water quality; Water security