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dc.contributor.authorPerfido, Domenico
dc.contributor.authorRaciti, Massimiliano
dc.contributor.authorZanotti, Chiara
dc.contributor.authorChambers, Niall
dc.contributor.authorHannon, Louise
dc.contributor.authorKeane, Marcus
dc.contributor.authorClifford, Eoghan
dc.contributor.authorCosta, Andrea
dc.date.accessioned2019-03-27T15:15:24Z
dc.date.available2019-03-27T15:15:24Z
dc.date.issued2017-03-31
dc.identifier.citationPerfido, D.; Raciti, M.; Zanotti, C.; Chambers, N.; Hannon, L.; Keane, M.; Clifford, E.; Costa, A. 2017. Towards sustainable water networks: automated fault detection and diagnosis, Entrepreneurship and Sustainability Issues 4(3): 339-350. https://doi.org/10.9770/jesi.2017.4.3S(9)en_IE
dc.identifier.issn2345-0282
dc.identifier.urihttp://hdl.handle.net/10379/15063
dc.description.abstractThe 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.en_IE
dc.description.sponsorshipWATERNOMICS 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.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherEntrepreneurship and Sustainability Centeren_IE
dc.relation.ispartofEntrepreneurship And Sustainability Issuesen
dc.subjectFDDen_IE
dc.subjectwater networken_IE
dc.subjectanomalies detectionen_IE
dc.subjectleakagesen_IE
dc.subjectADWICEen_IE
dc.titleTowards sustainable water networks: automated fault detection and diagnosisen_IE
dc.typeArticleen_IE
dc.date.updated2019-03-22T16:42:52Z
dc.identifier.doi10.9770/jesi.2017.4.3S(9)
dc.local.publishedsourcehttps://doi.org/10.9770/jesi.2017.4.3S(9)en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderSeventh Framework Programmeen_IE
dc.internal.rssid13485339
dc.local.contactEoghan Clifford, Room 1035, Alice Perry Engineering Building, Nui Galway, Galway. 2219 Email: eoghan.clifford@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
dcterms.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::ICT/619660/EU/ICT for Water Resource Management/WATERNOMICSen_IE
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