On the short-circuiting Fault Detection in a PMSM by means of Stator Current Transformations

Rosero, J.; Romeral, L.; Cusidó, J.; Garcia, A.; Ortega, Juan Antonio

doi:10.1109/pesc.2007.4342300

Cited by 52 publications

(16 citation statements)

References 8 publications

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“…The Fourier transform represents a signal as a superposition of several sine or cosine functions. It can clearly show the frequency distribution of the signal, where the amplitude and frequency of harmonic components can be used as the features of different faults [54]. The harmonic features of different faults in current and vibration signals are as follows.…”

Section: Frequency Domain Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

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Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.

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Section: Frequency Domain Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

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“…The gauss meter directly measures the flux density of magnet accurately but a motor should be disassembled to measure the flux density. When the motor is operating, some detection methods for the demagnetization of PM have been presented [1][2][3][4][5][6][7]. However, each method has major drawbacks because it requires an additional sensor such as current sensor, raster encoder and search coils.…”

Section: Introductionmentioning

confidence: 99%

Demagnetization Diagnosis of Permanent Magnet Synchronous Motor Using Frequency Analysis at Standstill Condition

Yoo¹,

Jung²

2016

Journal of Magnetics

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Recently, electric vehicles have got significant attention because it is more eco-friendly and efficient than internal combustion engine vehicles. Instead of an internal combustion engine, the electric vehicle has a motor for propulsion. The permanent magnet synchronous motor which has permanent magnet instead of field winding in the rotor has especially higher efficiency and power density than other types of motor. When the irreversible demagnetization is occurred, drivers are exposed to high risk of accident by the fault operation of motor. Therefore, the irreversible demagnetization of permanent magnet should be detected to reduce the risk of accident. In this study, the demagnetization diagnosis method based on the result of locked rotor test is proposed. Based on short measurement time, the proposed diagnosis method aims to detect the demagnetization fault when an electric vehicle is at a complete standstill. The proposed method is verified through the finite element analysis.

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“…An on-line detection algorithm using the discrete Wavelet transform on a DS1102 has been proposed [1], and a fault diagnosis using the finite element-based phase variable model and the discrete Wavelet analysis has been proposed [2]. Moreover, the shortcircuit failures of the stator winding in permanent magnet synchronous motor have been analyzed using the Wavelet transform [3]. However, they have treated the stator winding fault, and the fault of permanent magnet has not been dealt with.…”

Section: Introductionmentioning

confidence: 99%