Print Email Facebook Twitter Reducing customer minutes lost by anomaly detection? Title Reducing customer minutes lost by anomaly detection? Author Bakker, M. Vreeburg, J.H.G. Rietveld, L.C. van der Roer, M. Faculty Civil Engineering and Geosciences Department Water Management Date 2012-09-24 Abstract An method which compares measured and predicted water demands to detect anomalies, was developed and tested on three data sets of water demand of three years in which and 25 pipe bursts were reported. The method proved to be able to detect bursts where the water loss exceeds 30% of the average water demand in the area. By simultaneously running the method in adjacent supply areas, and combining the monitoring results the number of false alarms could be reduced. Further analysis of the reported bursts, showed that most burst (22 of 25) were isolated within 2 hours after occurrence. The anomaly detection method could not have reduced the number of Customer Minutes Lost (CML) of those bursts. The water loss and pressure drop of the other bursts was limited and caused no CML. The detection method was able to detect the bursts, but did not reduce the CML. To reference this document use: http://resolver.tudelft.nl/uuid:f41cb948-7159-4119-9f08-2a5465ea1393 Source 14th Water Distribution Systems Analysis Conference, Adelaide, Australia, 24-27 September 2012 Part of collection Institutional Repository Document type conference paper Rights (c) 2012 Bakker, M.Vreeburg, J.H.G.Rietveld, L.C.van der Roer, M. Files PDF 283883.pdf 2.06 MB Close viewer /islandora/object/uuid:f41cb948-7159-4119-9f08-2a5465ea1393/datastream/OBJ/view