Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11474
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dc.contributor.authorKumari, Jyotsna
dc.date.accessioned2023-04-20T10:56:55Z-
dc.date.available2023-04-20T10:56:55Z-
dc.date.issued2017-05
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11474-
dc.description.abstractWorking of plant requires lots of automation and hence there are various subsystemsfor its smooth operation. As wireless communication for SCADA system is a prac-tical solution and is require for application when wired or line communications to the remotely deployed unit is prohibitively expensive or it is too time consuming toconstruct. In this paper I planned to present an approach for fault detection using available SCADA-data from wind turbines. Systematic analysis of data indicated clear distinctions between fault and no-fault conditions in relationships among several parameters. For this I have chosen Indusoft web studio platform to work. This thesis deals with the technical details involved in interfacing SCADA with PLC in Wind Technology. It discusses the factors responsible for multi source and multi channel data recorder by remote Data Acquisition feature (Database generation) available in InduSoft SCADA that can record the data near the source of measurement. This software has all most all driver connectivity facility which will help to configure my PLC with InduSoft SCADA, by which data can transfer remotely. A personal computer system performs all duties as programming and data display. Also all channels will be synchronized and data acquisition occurred simultaneously.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries15MICC04;
dc.subjectIC 2017en_US
dc.subjectProject Report 2017en_US
dc.subjectIC Project Reporten_US
dc.subjectProject Reporten_US
dc.subject15MICen_US
dc.subject15MICCen_US
dc.subject15MICC04en_US
dc.subjectControl & Automationen_US
dc.subjectControl & Automation 2017en_US
dc.subjectIC (Control & Automation)en_US
dc.titleData Aquisition and Fault Detection in Wind Power plant using Scadaen_US
dc.typeDissertationen_US
Appears in Collections:Dissertations, E&I

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