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Electrical Signature Analysis for Condition Monitoring of Permanent Magnet Synchronous MachineSALOMON, C. P. , FERREIRA, C. , LAMBERT-TORRES, G. , TEIXEIRA, C. E. , BORGES DA SILVA, L. E. , SANTANA, W. C. , BONALDI, E. L. , DE OLIVEIRA, L. E. L.
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condition monitoring, digital signatures, fault detection, permanent magnet machines, predictive maintenance
synchronous(9), stator(9), fault(9), detection(8), power(7), motors(7), permanent(6), magnet(6), electronics(6), induction(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 91 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04011
Web of Science Accession Number: 000451843400011
SCOPUS ID: 85058807078
Permanent magnet synchronous machines (PMSMs) drives are attractive and have been used in several applications, because of their noteworthy advantages. In some applications, the continuous operation is necessary, and then the PMSM drive outage is unacceptable or may cause great losses. Thus, several studies have been accomplished in order to detect incipient faults in PMSMs. In this context, the electrical signature analysis (ESA) technique is highlighted, because of the feasibility and non-invasive features. ESA allows the fault detection by only analyzing the electrical machine quantities. This paper proposes a study of ESA for PMSM condition monitoring. The review of some fault patterns is presented as well as the development of a scale model laboratory to simulate faults in a real PMSM in operation. The PMSM is used to drive a fluid pumping system, and different types of fluids are tested, being different load conditions from the PMSM point of view. The presented results are promising, encouraging ESA based methodologies for PMSM fault detection.
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