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Evaluation of High-Frequency Current Ringing Measurements for Insulation Health Monitoring in Electrical Machines
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-6539-9265
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID iD: 0000-0001-6831-3474
2022 (English)In: IEEE transactions on energy conversion, ISSN 0885-8969, E-ISSN 1558-0059, Vol. 37, no 4, p. 2637-2644Article in journal (Refereed) Published
Abstract [en]

Condition monitoring of the insulation health of electric machines is usually performed with offline tests. In recent years, online condition monitoring methods for the groundwall insulation have been introduced. The majority of these works are based on leakage current measurements, requiring additional equipment compared to the standard one in converters. The condition monitoring method in this work instead relies on the high-frequency ringing of stator currents occurring after a converter switching transition. This work evaluates the method experimentally in a randomly-wound stator winding of an induction machine prototype equipped with taps. The insulation condition change is forced by inserting external capacitors. Through the analysis of different metrics for the health monitoring and a detailed discussion of the hardware and software requirements for an electric drive, a viable way forward for the practical implementation of the approach is proposed.

Place, publisher, year, edition, pages
2022. Vol. 37, no 4, p. 2637-2644
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-322825DOI: 10.1109/tec.2022.3182364ISI: 000895454600037Scopus ID: 2-s2.0-85132761896OAI: oai:DiVA.org:kth-322825DiVA, id: diva2:1724486
Note

Not duplicate with DiVA 1656961

QC 20230112

Available from: 2023-01-08 Created: 2023-01-08 Last updated: 2023-01-30Bibliographically approved

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Zanuso, GiovanniPeretti, Luca

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Citation style
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