Fractal‐based autonomous partial discharge pattern recognition method for MV motors
Author:
Affiliation:
1. School of Engineering and Built Environment, Glasgow Caledonian UniversityGlasgowG4 0BAUK
2. Electrical System Group, Engineering DivisionNuclear Generation, EDF EnergyGlasgowG74 5PGUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/hve.2017.0109
Reference34 articles.
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2. Advances in online monitoring and localization of partial discharges in large rotating machines;Kheirmand A.;IEEE Trans. Energy Convers.,2004
3. Review of recent research towards power cable life cycle management
4. Condition monitoring and diagnosis of power equipment: review and prospective
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