Modeling of faults in permanent magnet synchronous machines

Chowdhury, Mazharul

doi:10.1109/itec-ap.2016.7512956

Cited by 8 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At last, different diagnosis methods used to deal with these data were applied. In summary, commonly used motor fault diagnosis methods can be divided into the following three categories: model-based fault diagnosis methods [31], signal-based fault diagnosis methods, and knowledge-based fault diagnosis methods [32]. Among them, the model-based methods can penetrate the essence of fault generation.…”

Section: Fault Diagnosis Methodsmentioning

confidence: 99%

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

Chen

Liang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

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.

show abstract

Section: Fault Diagnosis Methodsmentioning

confidence: 99%

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

Chen

Liang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Table 1 indicates a summary of FDD categories. As indicated in Figure 6, the FDD methods utilized in PMSM motor drives are divided into three main classes: model-based, signal-based (or signal processing) and datadriven [44,45]. Also, in some applications, combining these methods is used to take advantage of different methods simultaneously, referring to hybrid FDD methods.…”

Section: Fault Detection and Diagnosis Of Electric Motor Drivesmentioning

confidence: 99%

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

2023

View full text Add to dashboard Cite

Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and reliability of electric vehicles (EVs). The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are susceptible to different types of faults. Failure to detect and address these faults in a timely manner can lead to EV malfunctions and potentially catastrophic accidents. In the realm of EV applications, Permanent Magnet Synchronous Motors (PMSMs) and lithium-ion battery packs have garnered significant attention. Consequently, fault detection methods for PMSMs and their drives, as well as for lithium-ion battery packs, have become a prominent area of research. An effective FDD approach must possess qualities such as accuracy, speed, sensitivity, and cost-effectiveness. Traditional FDD techniques include model-based and signal-based methods. However, data-driven approaches, including machine learning-based methods, have recently gained traction due to their promising capabilities in fault detection. This paper aims to provide a comprehensive overview of potential faults in EV motor drives and battery systems, while also reviewing the latest state-of-the-art research in EV fault detection. The information presented herein can serve as a valuable reference for future endeavors in this field.

show abstract

“…The PMSM electromagnetic torque formula as [14]: where m is the number of motor phases, p is the number of the pole pairs, U is the input phase voltage RMS considering the entire harmonic content, E 0 is the noload induced EMF RMS considering the entire harmonic content, ω is the electric angular velocity, X d is the direct axis reactance, X q is the quadrature axis reactance, θ is the power angle. The motor reactance parameters and the maximum output torque are shown in Table 4.…”

Section: Torque Ripple and Overload Capacity Analysismentioning

confidence: 99%

Influence of different rotor magnetic circuit structure on the performance of permanent magnet synchronous motor

Qiu

Cui

et al. 2017

Archives of Electrical Engineering

View full text Add to dashboard Cite

Abstract:In order to compare the performance difference of the permanent magnet synchronous motors (PMSM) with different rotor structure, two kinds of rotor magnetic circuit structure with surface-mounted radial excitation and tangential excitation are designed respectively. By comparing and analyzing the results, the difference of the motor performance was determined. Firstly, based on the finite element method (FEM), the motor electromagnetic field performance was studied, and the magnetic field distribution of the different magnetic circuit structure was obtained. The influence mechanism of the different magnetic circuit structure on the air gap flux density was obtained by using the Fourier theory. Secondly, the cogging torque, output torque and overload capacity of the PMSM with different rotor structure were studied. The effect mechanism of the different rotor structure on the motor output property difference was obtained. The motor prototype with two kinds of rotor structure was manufactured, and the experimental study was carried out. By comparing the experimental data and simulation data, the correctness of the research is verified. This paper lays a foundation for the research on the performance of the PMSM with different magnetic circuit structure.

show abstract

Modeling of faults in permanent magnet synchronous machines

Cited by 8 publications

References 9 publications

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

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

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

Influence of different rotor magnetic circuit structure on the performance of permanent magnet synchronous motor

Contact Info

Product

Resources

About