Analysis and Modeling of Power Mosfet Radiation

Saidi, Sofiene; Slama, Jaleleddine Ben Hadj

doi:10.2528/pierm13052008

Cited by 20 publications

(10 citation statements)

References 7 publications

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“…Indeed, the examination of the different obtained results, according to Reference [1], allows us to conclude that the model of the magnetic near field radiated by the different types of IGBTs, MOSFETs and diodes is a magnetic dipole.…”

Section: Discussion and Generic Model For Active Componentsmentioning

confidence: 98%

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Analysis and modeling of the magnetic near fields emited by an IGBT and by a power diode generic radiating model for active components

Labiedh

Slama

2014

2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

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In this paper, we present the modeling of radiating emissions of an IGBT and of a power diode. Firstly, we have introduced the technique of measuring the magnetic near field. Secondly, we have studied the magnetic field radiated above an IGBT and the modeling method. The latter is an electromagnetic inverse method based on genetic algorithms. We have applied our method to find an equivalent radiating model of an IGBT. Another model has been developed for a power diode. The models for the two components have been validated. A generic model for the active components has been finally proposed at the end of the paper.

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Section: Discussion and Generic Model For Active Componentsmentioning

confidence: 98%

“…Indeed, we are interested in magnetic fields radiated by the components used in power electronics. There is much research that provides radiating models for components or systems [1][2][3][4][5]. In fact, [1] presented the magnetic-near-field measurements of a MOSFET to characterize its radiation.…”

Section: Introductionmentioning

confidence: 99%

Analysis and modeling of the magnetic near fields emited by an IGBT and by a power diode generic radiating model for active components

Labiedh

Slama

2014

2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

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“…In the literature, a lot of work has been already achieved on the modeling of electronic components [1][2][3]. The inverse method based on the elementary dipoles was used to extract the equivalent model from PCB circuits [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach Based on the Near-Field Technique to Solve EMI Problems: Application to an AC/DC Flyback Converter

Zitouna¹,

Slama²

2020

Advances in Complex Analysis and Applications

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Flyback converters have been widely used in low- and high-power applications because of their simplicity and low cost. However, they incur electromagnetic compatibility problems which are more difficult to control. The present chapter proposes an efficient modeling method based on the near-field technique to solve real-world radiation problems of the power electronics circuits. Firstly, for the characterization of an AC/DC flyback converter, several experimental measurements of the magnetic near field are performed in the time domain over the converter. Subsequently, we have applied the time domain electromagnetic inverse method based on the genetic algorithms on the measured signals to find the equivalent radiating sources of the studied circuit. The accuracy and the efficiency of the proposed approach have been demonstrated by the good agreement between cartographies of the near magnetic field components calculated using the developed model and those measured. Finally, the developed equivalent model has been used to predict cartographies of other components of the magnetic field which will be compared to measured cartographies. This confirms that the identified equivalent sources can represent real sources in the studied structure. The proposed method could be used for diagnosis and fault location in power electronics systems.

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“…The supervised approaches model the problem of segmentation as a multi-class classification task. The traditional approaches vary and include neural network [13], K-nearest neighbor classifier [14], support vector machine (SVM) [15][16][17][18][19], Bayesian classifier [20,21], random forest [22], etc. Different from unsupervised ones, which assume certain structure in the data to fit the model for segmentation, supervised methods do not assume any structure rather aim to learn it from the data.…”

Section: Introductionmentioning

confidence: 99%

LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

Fan

Zhang

Liang

et al. 2019

Journal of Biophotonics

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Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morphology. Identification and analysis of leukocytes in blood smear images, acquired from bright field microscope, are vital for diagnosing many diseases such as hepatitis, leukaemia and acquired immune deficiency syndrome (AIDS). The major challenge for robust and accurate identification and segmentation of leukocyte in blood smear images lays in the large variations of cell appearance such as size, colour and shape of cells, the adhesion between leukocytes (white blood cells, WBCs) and erythrocytes (red blood cells, RBCs), and the emergence of substantial dyeing impurities in blood smear images. In this paper, an end‐to‐end leukocyte localization and segmentation method is proposed, named LeukocyteMask, in which pixel‐level prior information is utilized for supervisor training of a deep convolutional neural network, which is then employed to locate the region of interests (ROI) of leukocyte, and finally segmentation mask of leukocyte is obtained based on the extracted ROI by forward propagation of the network. Experimental results validate the effectiveness of the propose method and both the quantitative and qualitative comparisons with existing methods indicate that LeukocyteMask achieves a state‐of‐the‐art performance for the segmentation of leukocyte in terms of robustness and accuracy .

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Analysis and Modeling of Power Mosfet Radiation

Cited by 20 publications

References 7 publications

Analysis and modeling of the magnetic near fields emited by an IGBT and by a power diode generic radiating model for active components

Analysis and modeling of the magnetic near fields emited by an IGBT and by a power diode generic radiating model for active components

An Efficient Approach Based on the Near-Field Technique to Solve EMI Problems: Application to an AC/DC Flyback Converter

LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

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