2020
DOI: 10.3390/machines8030035
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Motor Current Signature Analysis-Based Permanent Magnet Synchronous Motor Demagnetization Characterization and Detection

Abstract: Neodymium-boron (NdFeB) permanent magnets (PMs) have been widely studied in the past years since they became the material of choice in permanent magnet synchronous machines (PMSMs). Although NdFeB PMs have a better energy density than other types of magnets and are cost-effective, their magnetization is very sensitive to the PMSM operating conditions, in particular temperature, where the irreversible demagnetization degree increases over time. Therefore, it is important to characterize and diagnose dem… Show more

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Cited by 39 publications
(25 citation statements)
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“…There are many methods used for electric motor fault detection, including PMSMs [13][14][15][16][17]. Diagnostic methods are mostly based on the processed signal.…”
Section: Introductionmentioning
confidence: 99%
“…There are many methods used for electric motor fault detection, including PMSMs [13][14][15][16][17]. Diagnostic methods are mostly based on the processed signal.…”
Section: Introductionmentioning
confidence: 99%
“…When developing an effective diagnostic system, the basic issue is the knowledge of changes in motor operation caused by specific damage and their subsequent monitoring according to the signals available for measurements [6]. Over the years, a number of methods for detecting faults in electrical motors have been developed, including PMSMs [7][8][9][10][11]. However, new, more robust, faster, and more accurate diagnostic algorithms are still being intensively searched for.…”
Section: Introductionmentioning
confidence: 99%
“…The finite element method (FEM: Finite Element Method) is the most appropriate and widespread method for calculating static or quasi-static magnetic fields by solving the Maxwell equations (Krichen et al, 2020). It allows to accurately describe complex geometries and to take into account non-linearity of physical properties such as the law B ( H ) in magnetic materials.…”
Section: Finite Element Analysis Of the Generatormentioning
confidence: 99%