Title
Towards sustainable water networks: automated fault detection and diagnosis
Abstract
The paper will present an overview of one of the Fault Detection and Diagnosis (FDD) systems developed within the Waternomics project. The FDD system has been developed basing on the hydraulic modeling of the water network, the real time values of flow and pressure obtained from installation of innovative ICT and commercial smart meters and the application of the Anomaly Detection with fast Incremental ClustEring (ADWICE) algorithm adapted for the drinking water network. The FDD system developed is useful when we have to consider more than one parameter at the same time to determine if an anomaly or fault is in place in a complex water network and the system is designed on purpose to cope with a larger features set. The new FDD system will be implemented in an Italian demo site, the Linate Airport Water network in Milan, where a large water distribution network is in place and where, due the many variables coming into play, it could be very difficult to detect anomalies with a low false alarm rate.
Keywords
FDD, water network, anomalies detection, leakages, ADWICE
JEL classifications
O32
URI
http://jssidoi.org/jesi/article/110
DOI
Pages
339-350
Funding
WATERNOMICS project is supported by the EC under grant agreement n. 619660. The authors gratefully acknowledge Simin Nadjm-Tehrani and Kalle Burbeck for sharing the source code of ADWICE, the Waternomics partners and the demonstration sites for their support in the project development.This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License