Diagnosis and clustering of power transformer winding fault types by cross‐correlation and clustering analysis of FRA results
Author:
Affiliation:
1. Department of Electrical, Faculty of EngineeringFasa UniversityFasaIran
2. Department of Statistics, Faculty of ScienceFasa UniversityFasaIran
3. School of Mathematical SciencesNanjing Normal UniversityNanjing210023People's Republic of China
Funder
Natural Science Foundation of Jiangsu Province
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5812
Reference35 articles.
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3. Influence of temperature and moisture content on frequency response analysis of transformer winding
4. A real time study on condition monitoring of distribution transformer using thermal imager;Mariprasath T.;Infrared Phys. Technol.,2018
5. A multi‐criteria computer package for power transformer fault detection and diagnosis;Roncero‐Clemente C.;Appl. Math. Comput.,2017
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