Comparative Investigation of Three Diagnostic Methods Applied to Direct-Drive Permanent Magnet Machines Suffering from Demagnetization

Syidy Ab Rasid, Konstantinos N. Gyftakis () and Markus Mueller
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Syidy Ab Rasid: School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK
Konstantinos N. Gyftakis: School of Electrical and Electronic Engineering, Technical University of Crete, 73100 Chania, Greece
Markus Mueller: School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK

Energies, 2023, vol. 16, issue 6, 1-18

Abstract: Direct-drive permanent magnet machines are ideal candidates for remote renewable applications, due to their independence from gearboxes and minimization of maintenance needs. However, faults may still appear in the generator of such a machine and affect its operation and production. Not only can demagnetization cause a catastrophic breakdown if left unchecked, but it also directly impacts the output quality of generators. As such, demagnetization is a topic of great interest. This paper investigated the sensitivity of three diagnostic methods—current signature analysis (CSA), Park’s vector approach (PVA), and extended Park’s vector approach (EPVA)—for demagnetization fault detection on a coreless permanent magnet generator.

Keywords: permanent magnet generators; fault diagnosis; demagnetization; renewables (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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