| Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764878 |
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| Title: | Detection, classification and control of power quality disturbances based on complementary ensemble empirical mode decomposition and artificial neural networks | ||||||
| Author: | Alshahrani, Saeed Sultan |
ISNI:
0000 0004 7658 2721
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| Awarding Body: | Brunel University London | ||||||
| Current Institution: | Brunel University | ||||||
| Date of Award: | 2017 | ||||||
| Availability of Full Text: |
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| Abstract: | |||||||
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No abstract available
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| Supervisor: | Abbod, M. ; Taylor, G. | Sponsor: | Saudi Standards ; Metrology and Quality Organisation ; Saudi Ministry of Education | ||||
| Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||||
| EThOS ID: | uk.bl.ethos.764878 | DOI: | Not available | ||||
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