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Electric Power Components and Systems Volume 34, 2006 - Issue 8
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Original Articles

Diagnostic Techniques in Rotating Machine Insulation: A Diagnostic Technique for Model Stator Bars Based on the Maximum Partial Discharge Magnitude

Michael G. Danikas Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
&
Athanassios D. Karlis Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
Pages 905-916 | Accepted 09 Dec 2005, Published online: 23 Feb 2007

Citations (4)

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Read on this site (2)

J. Anandraj & Girish M. Joshi. (2018) Fabrication, performance and applications of integrated nanodielectric properties of materials – a review. Composite Interfaces 25:5-7, pages 455-489.
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Maheswari Ramasamy Velayutham, Subburaj Perumal, Vigneshwaran Basharan & Willjuice Iruthayarajan Maria Silluvairaj. (2014) Support Vector Machine-based Denoising Technique for Removal of White Noise in Partial Discharge Signal. Electric Power Components and Systems 42:14, pages 1611-1622.
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Articles from other publishers (2)

Michael G. Danikas & Athanasios Karlis. (2011) Partial discharge diagnostics in wind turbine insulation. Journal of Zhejiang University SCIENCE C 12:6, pages 515-522.
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M.G. Danikas & A.D. Karlis. (2008) Maximum Partial Discharge Magnitude Hysteresis Curves as a Diagnostic Technique for Model Stator Bars. IEEE Transactions on Industry Applications 44:5, pages 1552-1558.
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