Anisotropic Generalization of Vector Preisach Hysteresis Models for Nonoriented Steels

Handgruber, Paul; Stermecki, Andrej; Bíró, Oszkár; Goričan, Viktor; Dlala, Emad; Ofner, Georg

doi:10.1109/tmag.2014.2353691

Cited by 26 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The hysteresis, both static and dynamic [24], [25], is deliberately omitted from the FEM simulations when they are concerned with condition monitoring. This is the case for the anisotropy characteristic of iron sheets too [26].…”

Section: B Finite Element Simulationsmentioning

confidence: 99%

Condition monitoring of electrical machines and its relation to industrial internet

Belahcen

Gyftakis

Martinez

et al. 2015

2015 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

View full text Add to dashboard Cite

With the ever increasing spread of cloud computing services and industrial internet, the condition monitoring and diagnosis of electrical machines and drives is gradually shifting towards remote monitoring. This puts new requirements on the methodologies for condition monitoring through the communication and analysis of big data. In this paper we classify the different aspects of electrical machine diagnosis and investigate their relation with remote monitoring. The main emphasis is on two aspects out of four identified. The first one is the use of numerical simulations of faulty machines to generate the virtual data and relate global quantities to local ones. The second is the monitoring integration in the industrial internet, which means the hardware and software packaged within the monitored machine as well as the required information and communication technology. New trends in these fields are identified and analyzed and a synthesis of future needs is presented.Index Terms--Condition monitoring, fault diagnosis, finite element analysis, information security, internet of things, motor drives, remote monitoring, signal processing.A. Belahcen and T. Vaimann are with Aalto University,

show abstract

Section: B Finite Element Simulationsmentioning

confidence: 99%

Condition monitoring of electrical machines and its relation to industrial internet

Belahcen

Gyftakis

Martinez

et al. 2015

2015 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

View full text Add to dashboard Cite

show abstract

“…The BH measurement data used in this paper corresponds to 0.5 mm non-oriented (NO) silicon-iron electrical steel (grade M400-50A). The magnetic measurements are obtained from a rotational single-sheet tester (RSST) [16], [17]. The measurement is a B-controlled and performed at 50 Hz.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Anisotropic Energy-Based and Jiles–Atherton Models of Ferromagnetic Hysteresis

et al. 2020

View full text Add to dashboard Cite

In this paper, we apply an anisotropic extension for the energy-based and the Jiles-Atherton hysteresis models to simulate both unidirectional alternating and rotational magnetic field excitations. The results show a good agreement with measurements for unidirectional alternating fields. However, the results for rotational fields, especially at high magnitudes, show a significant discrepancy with the measurement data. We demonstrate that the Jiles-Atherton model with appropriate parameters can estimate the losses in alternating cases up to 1.5 T, whereas both models give reasonable loss estimation up to 1 T in rotational cases.

show abstract

“…Among diverse methods for predicting locally the isotropic hysteresis, the mathematical Preisach model and the phenomenological Jiles-Atherton (J-A) model received a growing attention these last decades. In order to account for the anisotropic behaviour of electrical steel sheets, the improvement of the Preisach model can be performed either with a phenomenological bistroide model (Vernescu-Spornic et al, 2000) or with a generalized Mayergoyz model (Mayergoyz, 2003;Dlala, 2011;Handgruber et al, 2015). Although the former presents some discrepencies at low amplitude of the flux density under rotational field, the diverse improvements of the latter can accuratly represent both alternating and rotating dissipative behaviour, including the excess field, of the ferromagnetic materials.…”

Section: Introductionmentioning

confidence: 99%

“…The modification consists in replacing the Langevin anhysteretic curves by the interpolation of every components of the anhysteretic magnetization with respect to all the components of the effective field. Hence, only three diagonal tensors are identified from alternating flux density measurements at 50 Hz in principal directions (Goričan et al, 2000;Handgruber et al, 2015). The proposed improvement is then compared with both the anisotropic J-A model and the rotating flux density measurements.…”

Section: Introductionmentioning

confidence: 99%

Modelling anisotropy in non-oriented electrical steel sheet using vector Jiles–Atherton model

Upadhaya¹,

Martin²,

Rasilo

et al. 2017

COMPEL

Self Cite

View full text Add to dashboard Cite

2017). Modelling anisotropy in non-oriented electrical steel sheet using vector Jiles-Atherton model. Compel: the international journal for computation and mathematics in electrical and electronic engineering, 36(3), 764-773. COMPEL C O M P E L Modelling anisotropy in non-oriented electrical steel sheet using vector Jiles-Atherton model Abstract Purpose -Non-oriented electrical steel presents anisotropic behaviour. Modelling such anisotropic behaviour has become a necessity for accurate design of electrical machines. The main aim of the study is to model the magnetic anisotropy in the non-oriented electrical steel sheet of grade M400-50A using a phenomenological hysteresis model. Design/methodology/approach -The well-known phenomenological vector Jiles-Atheton hysteresis model is modified in order to correctly model the typical anisotropic behaviour of the non-oriented steel sheet, which is not described correctly by the original vector Jiles-Atherton model. The modification to the vector model is implemented through the anhysteretic magnetization. Instead of the commonly used classical Langevin function, we introduced 2-D bi-cubic spline to represent the anhysteretic magnetization for modelling the magnetic anisotropy.Findings -The proposed model is found to yield good agreement with the measurement data. Comparisons are done between the original vector model and the proposed model. Another comparison is also made between the results obtained considering two different modification to the anhysteretic magnetization.Originality/value -The paper presents an original method to model the anhysteretic magnetization based on projections of the anhystertic magnetization in principal axis, and apply such modification to the vector Jiles-Atherton model to account for the magnetic anisotropy. The replacement of the classical Langevin function with the spline resulted in better fitting. The proposed model could be used in the numerical analysis of magnetic field in an electrical application.

show abstract

Anisotropic Generalization of Vector Preisach Hysteresis Models for Nonoriented Steels

Cited by 26 publications

References 10 publications

Condition monitoring of electrical machines and its relation to industrial internet

Condition monitoring of electrical machines and its relation to industrial internet

Comparison of Anisotropic Energy-Based and Jiles–Atherton Models of Ferromagnetic Hysteresis

Modelling anisotropy in non-oriented electrical steel sheet using vector Jiles–Atherton model

Contact Info

Product

Resources

About