Title:	Asset Management of Large Electric Machines through Monitoring of Electric Insulation
Authors:	Trnka, Pavel Trnková, Magdalena
Citation:	TRNKA, P. TRNKOVÁ, M. Asset Management of Large Electric Machines through Monitoring of Electric Insulation. Acta Polytechnica Hungarica, 2022, roč. 19, č. 9, s. 85-102. ISSN: 1785-8860
Issue Date:	2022
Publisher:	Budapest Tech Polytechnical Institution
Document type:	článek article
URI:	2-s2.0-85139056822 http://hdl.handle.net/11025/51462
ISSN:	1785-8860
Keywords in different language:	asset management;residual life;insulating system;aging model
Abstract in different language:	Demanding requirements on the circular economy, cost savings, the effectiveness of the power grids operation press the operators of large electrical machines and other equipment to search for new methods of equipment management, maintenance, and renewal. At present, the management of important electrical machines is mostly related to offline concepts. This paper brings a summary of the current management practices and represents an introduction of a modern approach - Condition Based Management as well. For the large high voltage, electric machines are here proposed method of using aging models as a part of online diagnostic systems to estimate machine state. An example of the modeled use of condition-based modeling and residual life of insulating material is here presented. This approach should be employed in the employment of new renewable energy resources as well.
Rights:	© Budapest Tech Polytechnical Institution
Appears in Collections:	Články / Articles (RICE) Články / Articles (KET) OBD

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