Five methods of stator natural frequency determination: case of induction and switched reluctance machines

Lecointe, J.-P.; Romary, Raphaël; Brudny, J.F.; Czapla, Τ.

doi:10.1016/j.ymssp.2003.08.002

Cited by 26 publications

(13 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the material used analytically can only be unique for the entire stator structure which necessarily leads to inaccuracy compared to FEA [16]. To overcome this drawback, the analytical method presented in [17] (for m=1) and [18] (for m=0 and m>1) has been modified to consider Young modulus E of different parts of the stator.…”

Section: B Mechanical Modelmentioning

confidence: 99%

Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors

Alameh

Cité

Hoblos

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

View full text Add to dashboard Cite

the aim of this paper is to present an analytical multiphysical model of Permanent Magnet Synchronous Motors (PMSMs) dedicated to fault detection purpose. The electromagnetic aspect is based on the analytical calculation of the Maxwell pressure in the air-gap. An existing mechanical approach is improved to compute natural frequencies of the machine taking into account its different parts. A better agreement has been obtained between analytical results and those issued from a Finite Element Analysis (FEA) applied to two different stator structures. The dynamic displacement signal of the stator is finally estimated in the space-time domain. Different operating modes of the machine can be simulated by changing some model parameters. In this paper, the rotor eccentricity fault is investigated and detected by the analysis of the vibration signal. Therefore, the proposed multiphysical model could provide healthy and faulty characteristics and could be suitably used for fault detection and diagnosis tasks.

show abstract

Section: B Mechanical Modelmentioning

confidence: 99%

Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors

Alameh

Cité

Hoblos

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

View full text Add to dashboard Cite

show abstract

“…A force can be generated with a frequency that excites one of the natural resonances. This can explain the fact that motors supplied by PWM have a lower lifetime [8]. The frequency of the forces applied to the end-winding could be as high as twice the supplied frequency.…”

Section: Fig 5 Forces Due To Slot Leakagementioning

confidence: 99%

“…The magnitude of the displacement depends on the force magnitude and the stator natural resonances. Analytical theories allow defining the frequencies of slick or toothed stators [8]. Mode 2 is the most important [9] because the magnitude Y ms of the static deformations is inversely proportional to the fourth power of the mode number [2]:…”

Section: Fig 5 Forces Due To Slot Leakagementioning

confidence: 99%

Forces and stresses in squirrel cage motors during starting

Curiac

2008

Conference Record of 2008 54th Annual Pulp and Paper Industry Technical Conference

View full text Add to dashboard Cite

show abstract

“…The study of vibration can be basically partitioned into two categories of time and frequency domain techniques [26]. In Reference [27] five approaches were employed to determine motor natural frequencies. The calculation of motor natural frequencies is necessary for the vibration of SRM [17].…”

Section: Introductionmentioning

confidence: 99%

Thermal and Mechanical Analysis of a 72/48 Switched Reluctance Motor for Low-Speed Direct-Drive Mining Applications

Elhomdy

Liu

2019

Applied Sciences

View full text Add to dashboard Cite

In the process of electric motor design, it is essential to predict and provide an accurate thermal and mechanical model. The aim of this research is to improve the thermal and mechanical performance—which is implemented into a 72/48 switched reluctance motor (SRM) with 75 kW—of a low-speed direct-drive mining system (pulverizer). Thermal analysis of the SRM requires a deep understanding of the coolant behavior and the thermal mechanism in the motor. Computational fluid dynamics (CFD) based finite element analysis (FEA) was carried out in order to precisely visualize and estimate fluid state and temperature distribution inside the motor. Several different coolant configurations were carried out, with the purpose of determining an appropriate one for uniform temperature distribution in the SRM. The natural frequencies are presented with the developed finite element mechanical, structural model. To adapt in the mining application, the cooling jacket configurations with 17 channels and the shaft with spoke was found to be optimal for the SRM, which may raise the natural frequency and reduce the weight and temperature of the motor. The simulations results showed a good agreement with experimental results regarding temperature distribution within the motor.

show abstract

Five methods of stator natural frequency determination: case of induction and switched reluctance machines

Cited by 26 publications

References 6 publications

Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors

Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors

Forces and stresses in squirrel cage motors during starting

Thermal and Mechanical Analysis of a 72/48 Switched Reluctance Motor for Low-Speed Direct-Drive Mining Applications

Contact Info

Product

Resources

About