This dissertation develops a Simulink model of the Surface-mounted Permanent Magnet (SPM) motor drive under Inter-Turn Short Circuit (ITSC) fault. The machine in ques- tion is a fractional-slot prototype-scaled SPM intended for aviation purposes. Its param- eters are computed by Finite Element Method Magnetics (FEMM) analysis at variable fault severity. The implemented method to recognise the fault is Motor Current Signa- ture Analysis (MCSA) by means of the Fast Fourier Transform (FFT) in Matlab.

This dissertation develops a Simulink model of the Surface-mounted Permanent Magnet (SPM) motor drive under Inter-Turn Short Circuit (ITSC) fault. The machine in ques- tion is a fractional-slot prototype-scaled SPM intended for aviation purposes. Its param- eters are computed by Finite Element Method Magnetics (FEMM) analysis at variable fault severity. The implemented method to recognise the fault is Motor Current Signa- ture Analysis (MCSA) by means of the Fast Fourier Transform (FFT) in Matlab.

Aviation fractional-slot Surface-mounted Permanent Magnet (SPM) synchronous motor, Inter-Turn Short Circuit (ITSC) fault detection techniques

SALÒ, ANDREA
2022/2023

Abstract

This dissertation develops a Simulink model of the Surface-mounted Permanent Magnet (SPM) motor drive under Inter-Turn Short Circuit (ITSC) fault. The machine in ques- tion is a fractional-slot prototype-scaled SPM intended for aviation purposes. Its param- eters are computed by Finite Element Method Magnetics (FEMM) analysis at variable fault severity. The implemented method to recognise the fault is Motor Current Signa- ture Analysis (MCSA) by means of the Fast Fourier Transform (FFT) in Matlab.
2022
Aviation fractional-slot Surface-mounted Permanent Magnet (SPM) synchronous motor, Inter-Turn Short Circuit (ITSC) fault detection techniques
This dissertation develops a Simulink model of the Surface-mounted Permanent Magnet (SPM) motor drive under Inter-Turn Short Circuit (ITSC) fault. The machine in ques- tion is a fractional-slot prototype-scaled SPM intended for aviation purposes. Its param- eters are computed by Finite Element Method Magnetics (FEMM) analysis at variable fault severity. The implemented method to recognise the fault is Motor Current Signa- ture Analysis (MCSA) by means of the Fast Fourier Transform (FFT) in Matlab.
SPM motor
Electromech actuator
fault detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/45706