2020/07/18 by Krishnan Srinivasarengan, Taha Boukhobza, Srinivasarengan, Krishnan +5
Computer Science · Engineering · Environmental Science · #Energy Efficient Wireless Sensor Networks #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Systems and Control (eess.SY) #Water Quality Monitoring Technologies #Water Systems and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2007.09401
openalex publication_date 2020/07/18 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Detecting leaks in Water Distribution Networks (WDN) using sensors has become\ncrucial towards an efficient management of water resources. The leak detection\nmethods that use this data rely on the correctness of the acquired data.\nHowever, this assumption is often violated in practice. Consequently, leak\ndetection under sensor faults is a problem of practical importance. This\nrelates to the more general problem of simultaneous detectability in sensor and\nprocess faults for a class of systems modelled as a network, by exploiting the\nredundancies available through the topological relationship between the\nsensors. This paper hence aims at i) modeling WDN as graphs containing both\nsystems and sensors faults ii) providing theoretical joint detectability\nresults for such graphs and iii) applying these results to the scenario of leak\nidentification under sensor faults conditions on real data issued from a rural\nWDN.\n