Prediction of winding faults between non-stationary signals: Granger causality analysis for lightning impulse testing of transformers
Author:
Affiliation:
1. UHV Research and Development, Global R&D Centre; Crompton Greaves Limited; Kanjurmarg (E) Mumbai 400 042 India
2. Department of Electrical Engineering; National Institute of Technology (NIT); Warangal Andhra Pradesh 506 004 India
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Reference24 articles.
1. IEC 60076-3 Power transformers - Part 3: insulation levels, dielectric tests and external clearances in air 2009
2. IEEE C57.98-2011 IEEE guide for transformer impulse tests 2011
3. Impulse testing of power transformers using the transfer function method;Malewski;IEEE Transactions on Power Delivery,1988
4. A transfer function is a reliable tool for comparison of full and chopped lightning impulse tests;Hanique;IEEE Transactions on Power Delivery,1994
5. Monitoring of power transformers using the transfer function method;Leibfried;IEEE Transactions on Power Delivery,1999
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1. Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction;Energy Conversion and Management;2019-07
2. Detecting the location and severity of transformer winding deformation by a novel adaptive particle swarm optimization algorithm;International Transactions on Electrical Energy Systems;2018-07-18
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