{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T16:02:06Z","timestamp":1770825726319,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Data Analytics on Sewers Project"},{"DOI":"10.13039\/100014616","name":"Sydney Water Corporation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100014616","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004170","name":"Melbourne Water","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004170","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Water Corporation (WA)"},{"name":"South Australian Water Corporation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2872506","type":"journal-article","created":{"date-parts":[[2018,9,28]],"date-time":"2018-09-28T20:36:50Z","timestamp":1538167010000},"page":"56562-56574","source":"Crossref","is-referenced-by-count":45,"title":["Sensor Failure Detection and Faulty Data Accommodation Approach for Instrumented Wastewater Infrastructures"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4044-1711","authenticated-orcid":false,"given":"Karthick","family":"Thiyagarajan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarath","family":"Kodagoda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linh","family":"Van Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravindra","family":"Ranasinghe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"187","article-title":"Online outlier detection in sensor data using non-parametric models","author":"subramaniam","year":"2006","journal-title":"Proc Int'I Conf Very Large Data Bases (VLDB)"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1016\/j.jpdc.2013.09.005","article-title":"Hyperspherical cluster based distributed anomaly detection in wireless sensor networks","volume":"74","author":"rajasegarar","year":"2014","journal-title":"J Parallel Distrib Comput"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2468586"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10666-013-9364-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.12.002"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1686","DOI":"10.4028\/www.scientific.net\/AMM.373-375.1686","article-title":"Application of SARIMA model in cucumber price forecast","volume":"373","author":"luo","year":"2013","journal-title":"Appl Mech Mater"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2014.2350475"},{"key":"ref36","first-page":"3080","article-title":"Time series modeling and forecasting: Tropical cyclone prediction using ARIMA model","author":"geetha","year":"2016","journal-title":"Proc 3rd Int Conf Comput Sustain Global Develop (INDIACom)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2002.804943"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5370\/JEET.2016.11.4.869"},{"key":"ref28","author":"box","year":"2013","journal-title":"Time Series Analysis Forecasting and Control"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2307\/2285379"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2013.6817959"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2522944"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2767698"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0967-0661(97)00053-1"},{"key":"ref22","first-page":"123","article-title":"Early failure detection for predictive maintenance of sensor parts","author":"kuzin","year":"2016","journal-title":"Proc ITA"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2361600"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2070(86)90092-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/RAECS.2015.7453427"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5121\/ijcsea.2014.4202"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.005"},{"key":"ref50","author":"hyndman","year":"2014","journal-title":"Forecasting Principles and Practice"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1198\/073500101316970430"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2017.8283153"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2007.02.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2717494"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0474-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2010.5716956"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3182\/20050703-6-CZ-1902.01864"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2008.4738703"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S1369-8869(00)00009-4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2011.03.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2010.12.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2008.03.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2012.2229675"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2808605"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2350451"},{"key":"ref6","article-title":"Drinking water and sewer systems in corrosion costs and preventative strategies in the United States","author":"brongers","year":"2002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.watres.2014.07.026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2016.7603783"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2016.7838845"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v027.i03"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSN.2013.57"},{"key":"ref46","author":"box","year":"2015","journal-title":"Time Series Analysis Forecasting and Control"},{"key":"ref45","article-title":"Selection of best ARIMA model for forecasting average daily share price index of pharmaceutical companies in Bangladesh: A case study on square pharmaceutical Ltd","volume":"13","author":"paul","year":"2013","journal-title":"Research in Global Business Management"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICITEED.2013.6676239"},{"key":"ref47","author":"adhikari","year":"2013","journal-title":"An introductory study on time series modeling and forecasting"},{"key":"ref42","first-page":"1","article-title":"Arima model for network traffic prediction and anomaly detection","volume":"4","author":"moayedi","year":"2008","journal-title":"Proc Int Symp Inf Technol (ITSim)"},{"key":"ref41","first-page":"5685","article-title":"Anomaly detection and prediction of sensors faults in a refinery using data mining techniques and fuzzy logic","volume":"6","author":"saybani","year":"2011","journal-title":"Sci Res Essays"},{"key":"ref44","volume":"45","author":"hipel","year":"1994","journal-title":"Time Series Modelling of Water Resources and Environmental Systems"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2623582"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08476572.pdf?arnumber=8476572","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T17:19:31Z","timestamp":1643217571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8476572\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2872506","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}