Inductance-based Inter-Turn Fault Detection in Permanent Magnet Synchronous Machine Using Magnetic Equivalent Circuit Model

Faiz, Jawad; Nejadi-Koti, Hossein; Exiri, A. H.

doi:10.1080/15325008.2017.1293196

Cited by 15 publications

(5 citation statements)

References 25 publications

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“…As a field-based analysis method, discrete winding distributions, stator slots and the like can be analyzed based on the MEC model, so some researchers also use it for the diagnosis of electrical faults [40,41]. In this model, the magnetic fluxes in all branches and potentials can be determined by solving the MEC equations.…”

Section: Model-based Fault Diagnosis 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: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

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

et al. 2019

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“…Three analytical models based on the MEC method are presented and used in PM machines [15][16][17] to detect the TTSC fault. The results show that the inductance rises with the increase of the fault severity.…”

Section: Introductionmentioning

confidence: 99%

Analysis and detection of turn‐to‐turn short circuit fault in a permanent magnet Vernier generator based on modified winding function

Arianborna

Faiz

Ghods

et al. 2021

IET Electric Power Appl

Self Cite

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Operation of Vernier machines is based on flux modulation. They have some advantages including maintaining the rated torque in motor applications and the rated output power in generator applications at low speeds, high torque density and relatively low torque ripple due to their magnetic gear property and fault-tolerance. In recent years, the motor with various topologies has been developed for different applications. Therefore, analysing and monitoring different faults is essential in the design and implementation stages. This study has two main purposes. First, to introduce an accurate frequency index independent of load variations for detecting the turn-to-turn short circuit (TTSC) faults in the stator windings of a permanent magnet Vernier machine. Second, modelling the machine in a healthy condition and in the presence of TTSC faults to investigate its effect on machine performance and output characteristics. An analytical model is presented using the modified winding function theory under the TTSC fault by taking into account the effect of stator slots which enhances the accuracy of the air-gap permeance function estimation. In the process of calculating the fault index, frequency components of the output characteristics of the machine are obtained from the mathematical equations of the magnetic field. It is shown that the proposed indicators are robust against load variations.

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“…Among these analytical methods, magnetic equivalent circuit Intern-turn fault modeling and diagnosis (MEC) has been proposed based on interconnected reluctance network in Ostovic (1989). MEC has been used widely for fault detection application Faiz et al (2017), Forstner et al (2020, Han et al (2020), Kemmetmüller et al (2014), Liu et al (2019), Naderi (2018), Naderi et al (2021), Naderi and Shiri (2017), Qian et al (2015), Usman and Rajpurohit (2020), Wu et al (2019) because it offers a fast and light solution with moderate accuracy for the faulty machine performance analysis. Qian et al (2015) has developed the model for exploring different short circuit faults in the PMSM, while the core non-linearity is neglected.…”

Section: Introductionmentioning

confidence: 99%

“…Qian et al (2015) has developed the model for exploring different short circuit faults in the PMSM, while the core non-linearity is neglected. The MEC method has been used to estimate the self-inductance of the faulted phase in Faiz et al (2017), where the inductance value is proportional to the fault severity. The authors of Kemmetmüller et al (2014) have used the graph theory to systematically minimize the model state variables and consider the electrical connection of the coils.…”

Section: Introductionmentioning

confidence: 99%

Intern-turn fault modeling and diagnosis in permanent magnet vernier machine using modified magnetic equivalent circuit method

Rostami

Naderi

Shiri

2021

COMPEL

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Purpose The aim of this paper is to propose the model for analyzing the electromagnetic performances of permanent magnet vernier machines (PMVMs) under healthy and faulty conditions. Design/methodology/approach The model uses interconnected reluctance network formed based on the geometrical approximations to predict magnetic performances of the machine. The network consists of several types of reluctances for modeling different parts of machine. Applying Kirchhoffs laws in the network and the machine windings, magnetic and electrical equations are obtained, respectively. To construct the model system of equations, the electrical equation is converted into algebraic form by using the trapezoidal technique. Moreover, the system of equations must be solved by Newton–Raphson method in each step-time because of considering the core saturation effect. Findings The proposed model is developed based on the modified magnetic equivalent circuit (MEC) method, in which the number of flux paths in different parts of the machine can be arbitrary selected. The saturation effect, skewed slots, the desired machine geometrical parameters and various winding arrangements are included in the proposed model; therefore, it can evaluate the time and space harmonics in modeling the PMVMs. Furthermore, a pattern for inter-turn fault detection is extracted from the stator current spectrum. Finally, 2 D-finite element method (FEM) and 3 D-FEM analysis are carried out to evaluate and verify the results of the proposed MEC model. Originality/value Generally, the element numbers have important role in modeling the machine and calculating its performance. Hence, the proposed MEC model’s capability to choose desired number of flux paths is advantage of this paper. Moreover, the developed MEC can be used for analyzing several electrical machines, including other types of vernier machines, with simple modification.

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Inductance-based Inter-Turn Fault Detection in Permanent Magnet Synchronous Machine Using Magnetic Equivalent Circuit Model

Cited by 15 publications

References 25 publications

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

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

Analysis and detection of turn‐to‐turn short circuit fault in a permanent magnet Vernier generator based on modified winding function

Intern-turn fault modeling and diagnosis in permanent magnet vernier machine using modified magnetic equivalent circuit method

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