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http://bura.brunel.ac.uk/handle/2438/12818
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Alshahrani, S | - |
dc.contributor.author | Abbod, M | - |
dc.contributor.author | Alamri, B | - |
dc.date.accessioned | 2016-06-17T11:22:42Z | - |
dc.date.available | 2016-04-07 | - |
dc.date.available | 2016-06-17T11:22:42Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | 2015 Saudi Arabia Smart Grid (SASG), Jeddah, (7- 9 December 2015) | en_US |
dc.identifier.isbn | 9781467394543 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7449296 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/12818 | - |
dc.description.abstract | In this paper, A powerful signal processing method wavelet transform is presented to detect power quality events among one of the Artificial intelligence techniques which is Artificial neural networks as a classification system. As a result of the increased applications of non-linear load, it becomes important to find accurate detecting method. Wavelet Transform represents an efficient signal processing algorithm for power quality problems especially at non-stationary situations. These events are generated and filtered using wavelet as well as extraction of their features at different frequencies. Thereafter, a training process is done using ANN to classify power quality events. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Power quality | en_US |
dc.subject | Events | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Wavelet transform | en_US |
dc.subject | Classification | en_US |
dc.subject | Artificial neural networks | en_US |
dc.title | Detection and classification of power quality events based on wavelet transform and artificial neural networks for smart grids | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/SASG.2015.7449296 | - |
dc.relation.isPartOf | 2015 Saudi Arabia Smart Grid, SASG 2015 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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Fulltext.docx | 487.14 kB | Unknown | View/Open |
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