M
Matti Lehtonen
Researcher at Aalto University
Publications - 770
Citations - 12827
Matti Lehtonen is an academic researcher from Aalto University. The author has contributed to research in topics: Fault (power engineering) & Computer science. The author has an hindex of 40, co-authored 694 publications receiving 8559 citations. Previous affiliations of Matti Lehtonen include Razi University & New York University.
Papers
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Proceedings ArticleDOI
Neutral point treatment and earth fault suppression
TL;DR: In this article, the authors present the earth fault analysis in the Helsinki 10 kV network and compare the results to a reference analysis, and also present the strategy steps of managing sustained earth faults as well in the 10kV and 20kV areas and the required long term development steps.
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Improving reliability in an urban network
TL;DR: In this paper, a holistic view on reliability improvement in urban distribution networks and the description of the actual implementations of different methods is addressed, and the impact of the chosen development methods on reliability indices in Helsinki is described.
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Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks
TL;DR: In this article, wavelet transform (WT) is suggested as a powerful technique to remove noise and disturbances from PD signals captured in CC overhead distribution networks, which are completely absorbed by electromagnetic interferences.
Proceedings ArticleDOI
Experimental measurements of partial discharge activity within LDPE/TiO2 nanocomposites
Nagat M.K. Abdel-Gawad,Adel Z. El Dein,Diaa-Eldin A. Mansour,Hanaa M. Ahmed,Mohamed M. F. Darwish,Matti Lehtonen +5 more
TL;DR: In this paper, the influence of incorporated titanium dioxide (TiO 2 ) nanoparticles on the statistical parameters of PD activity within low density polyethylene (LDPE) matrix through using the solvent casting method was investigated.
Journal Article
A Systems Approach to Information Technology (IT) Infrastructure Design for Utility Management Automation Systems
TL;DR: A model-based architectural design-decision methodology is presented and implemented to one of the UMA functions–feeder reconfiguration function (FRF)– for a test distribution system.