WNN based intelligent energy meter

dc.contributor.author	Sabat, Samrat L.
dc.contributor.author	Nayak, Santanu K.
dc.contributor.author	Mahapatra, Sakuntala
dc.date.accessioned	2022-03-27T06:44:16Z
dc.date.available	2022-03-27T06:44:16Z
dc.date.issued	2008-05-01
dc.description.abstract	This paper presents a novel method for estimation of average power based on multiresolution signal decomposition technique and neural network. Proposed method allows the measurement form the samples of voltage and current signal over a cycle. Significance of this approach is we have not considered the phase factor for measuring average power as in conventional method. A prototype model for on line measuring and estimating the average power with high accuracy is presented using TMS320C3X starter kit. © 2007 Elsevier Ltd. All rights reserved.
dc.identifier.citation	Measurement: Journal of the International Measurement Confederation. v.41(4)
dc.identifier.issn	02632241
dc.identifier.uri	10.1016/j.measurement.2007.08.003
dc.identifier.uri	https://www.sciencedirect.com/science/article/abs/pii/S0263224107000887
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9991
dc.subject	Energy estimation
dc.subject	Feature extraction
dc.subject	Intelligent instrument
dc.subject	Multiresolution analysis
dc.subject	Multiresolution signal decomposition
dc.subject	Neural network model
dc.title	WNN based intelligent energy meter
dc.type	Journal. Article
dspace.entity.type

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