An analytical model for squirrel cage induction machine with broken rotor bars derived based on the multiple coupled circuit theory and the winding function approach

Fu, Qiang; Guo, Qianqiao; Zhang, Wei; Cui, Weimin; Zhao, Luhua

doi:10.1002/cta.2984

Cited by 5 publications

(3 citation statements)

References 72 publications

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“…Motor faults affect the spectrum of the stator current signals; several techniques for fault detection in induction motors based on MCSA have been proposed for detecting both electrical and mechanical issues, and commonly, these techniques are based on algorithms for spectrum analysis to find fault signatures, aiming to detect and classify the location and severity of the fault [27][28][29][30][31][32][33][34][35][36][37].…”

Section: Currentmentioning

confidence: 99%

Physical Variable Measurement Techniques for Fault Detection in Electric Motors

et al. 2023

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Induction motors are widely used worldwide for domestic and industrial applications. Fault detection and classification techniques based on signal analysis have increased in popularity due to the growing use of induction motors in new technologies such as electric vehicles, automatic control, maintenance systems, and the inclusion of renewable energy sources in electrical systems, among others. Hence, monitoring, fault detection, and classification are topics of interest for researchers, given that the presence of a fault can lead to catastrophic consequences concerning technical and financial aspects. To detect a fault in an induction motor, several techniques based on different physical variables, such as vibrations, current signals, stray flux, and thermographic images, have been studied. This paper reviews recent investigations into physical variables, instruments, and techniques used in the analysis of faults in induction motors, aiming to provide an overview on the pros and cons of using a certain type of physical variable for fault detection. A discussion about the detection accuracy and complexity of the signals analysis is presented, comparing the results reported in recent years. This work finds that current and vibration are the most popular signals employed to detect faults in induction motors. However, stray flux signal analysis is presented as a promising alternative to detect faults under certain operating conditions where other methods, such as current analysis, may fail.

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Section: Currentmentioning

confidence: 99%

Physical Variable Measurement Techniques for Fault Detection in Electric Motors

et al. 2023

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“…Krishna and Ravi [6] studied the steady-state and transient responses of induction motors under stator and rotor faults by constructing a multiple coupled circuit model (MCC). Ojaghi et al [7] utilized the air gap function to simulate bearing faults and established an analytical dynamic model for an induction motor. Purvee et al [8] investigate the characteristics of rotor faults based on a dynamic model of a squirrel cage induction motor with a broken rotor bar.…”

Section: Introductionmentioning

confidence: 99%

Coupled electromagnetic-dynamic modelling of induction motor with a broken rotor bar

Yang,

Hu,

Cheng

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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The broken rotor bar fault is one of the common failure types in induction motors. However, most of previous modelled the broken rotor bar fault only based on the electromagnetic model, which can't provide comprehensive understanding in both of the electromagnetic and mechanical characteristics. This study proposed a coupled electromagnetic-dynamic modelling method of induction motor with a broken rotor bar. A multiple coupled circuit model of the induction motor, a rotor dynamic model, and the coupling effect between these two models are constructed. Dynamic simulation and analysis are conducted, and the effects of the broken rotor bar fault on the electromagnetic and dynamic characteristics are investigated.

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“…Circuit theory is a common subject in academic curricula of electrical engineering studies all over the world and has been the subject of many investigations to improve the quality of the teaching-learning process for many years. [1][2][3] It is deeply rooted in electrical engineering, allowing to solve many different problems like power factor correction, 4 electrical machines, 5 and others. 6 The resolution of electrical circuits in sinusoidal alternating current has a before and after the year 1893.…”

Section: Introductionmentioning

confidence: 99%

Geometric Algebra for teaching AC Circuit Theory

Montoya

Alcayde

Arrabal-Campos

2021

Circuit Theory & Apps

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This paper presents and discusses the usage of Geometric Algebra (GA) for the analysis of electrical alternating current (AC) circuits. The potential benefits of this novel approach are highlighted in the study of linear and nonlinear circuits with sinusoidal and non-sinusoidal sources in the frequency domain, which are important issues in electrical engineering undergraduate courses. The analysis and understanding of how AC circuits operate in steady state are of a paramount importance for all the electrical engineers and practitioners around the world. Typically, lecturers of most undergraduate courses teach circuit theory using complex phasors, vector calculus, or linear algebra. However, these approaches have some important limitations in practice, which requires the development of strategies to improve teaching-learning process related to AC circuit analysis. By formulating a new mathematical framework, the paper presents and discusses how GA can be of help in this approach. It is also described how the results obtained by using GA are validated using computer-based simulations. It is highlighted how the proposed teaching methodology based on GA theory can be effective in helping students learn AC circuit analysis since it has several potential benefits derived from its simplicity, compactness, and use of easily identifiable geometrical concepts.

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An analytical model for squirrel cage induction machine with broken rotor bars derived based on the multiple coupled circuit theory and the winding function approach

Cited by 5 publications

References 72 publications

Physical Variable Measurement Techniques for Fault Detection in Electric Motors

Physical Variable Measurement Techniques for Fault Detection in Electric Motors

Coupled electromagnetic-dynamic modelling of induction motor with a broken rotor bar

Geometric Algebra for teaching AC Circuit Theory

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