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dc.contributor.authorBalachandran, Thanatheepan
dc.contributor.authorAravinthan, Visvakumar
dc.contributor.authorThiruvaran, Tharmarajah
dc.identifier.citationT. Balachandran, V. Aravinthan and T. Thiruvaran, "Local detection of distribution level faults in a distributed sensor monitoring network using HMM," 2016 Electrical Engineering Conference (EECon), Colombo, 2016, pp. 25-30en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe Smart distribution system initiative requires an increased usage of the distribution feeder-level communication infrastructure to improve automation. Using a distributed sensor network for monitoring the distribution system is proposed by various researchers. Such distributed sensor communication architecture requires information to be received within an allowable delay and a minimum processing time at the control center. Increasing the number of sensors in the network also increases the data flow in the communication medium. Therefore, to reduce the burden in the communication medium, an event driven communication protocol could be utilized. This communication architecture assumed that the sensors used a local fault detection system to detect the abnormal event before communicating with the control center. This work focusses on local detection of faults in a distributed sensor network using a Hidden Markov Model considering a minimum processing time.en_US
dc.description.sponsorshipPower Systems Engineering Research Center (, PSERC Project S-54en_US
dc.relation.ispartofseries1st International Electrical Engineering Conference (EECon 2016);
dc.subjectDistribtuion systemen_US
dc.subjectDistrubted sensor networken_US
dc.subjectFault detectionen_US
dc.subjectHidden Markov Modelen_US
dc.titleLocal detection of distribution level faults in a distributed sensor monitoring network using HMMen_US
dc.typeConference paperen_US
dc.rights.holderCopyright 2017 IEEE - All rights reserved.en_US

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