dc.contributor.author | Riss, G | |
dc.contributor.author | Romano, M | |
dc.contributor.author | Memon, FA | |
dc.contributor.author | Woodward, K | |
dc.contributor.author | Kapelan, Z | |
dc.date.accessioned | 2019-02-18T09:59:06Z | |
dc.date.issued | 2018-07-06 | |
dc.description.abstract | This study presents improvements to the event detection capabilities of the existing, thresholdbased detection system used by United Utilities in one of their Water Treatment Works. These improvements
were achieved by using new threshold and persistence values identified by performing a sensitivity type
analysis. The findings from this study show that, although an overall increase in the true detection rate and
decrease in the number of false alarms were achieved, the high number of false alarms remains an issue. | en_GB |
dc.identifier.citation | HIC2018 – 13th International Hydroinformatics Conference, 1 - 6 July 2018, Palermo, Italy | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/35965 | |
dc.language.iso | en | en_GB |
dc.publisher | International Hydroinformatics Conference | en_GB |
dc.relation.url | https://www.hic2018.org/ | en_GB |
dc.rights | © 2018 International Hydroinformatics Conference | en_GB |
dc.subject | Confusion matrices | en_GB |
dc.subject | Event recognition | en_GB |
dc.subject | Online monitoring | en_GB |
dc.subject | Water treatment works | en_GB |
dc.title | Improving Detection of Events at Water Treatment Works: A UK Case Study | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2019-02-18T09:59:06Z | |
dc.description | This is the author accepted manuscript | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2018-07-01 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2018-07-01 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
refterms.dateFCD | 2019-02-17T15:48:27Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-02-18T09:59:09Z | |
refterms.panel | B | en_GB |