Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/15872Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Abbod, M | - |
| dc.contributor.advisor | Taylor, G | - |
| dc.contributor.author | Alshahrani, Saeed Sultan | - |
| dc.date.accessioned | 2018-02-27T10:19:31Z | - |
| dc.date.available | 2018-02-27T10:19:31Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/15872 | - |
| dc.description | This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London | en_US |
| dc.description.sponsorship | Saudi Standards, Metrology and Quality Organisation and the Ministry of Education. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Brunel University London | en_US |
| dc.relation.uri | http://bura.brunel.ac.uk/bitstream/2438/15872/1/FulltextThesis.pdf | - |
| dc.title | Detection, classification and control of power quality disturbances based on complementary ensemble empirical mode decomposition and artificial neural networks | en_US |
| dc.title.alternative | Detection, classification and control of power quality disturbances | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FulltextThesis.pdf | 7.35 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.