Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764878
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
Awarding Body: Brunel University London
Current Institution: Brunel University
Date of Award: 2017
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Abstract:
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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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