2016
DOI: 10.1515/aee-2016-0044
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Estimation of power losses in a high-frequency planar transformer using a thermal camera

Abstract: This paper presents the implementation of a thermal camera for the quantitative estimation of power losses in a high frequency planar transformer (100 kHz/ 5600 VA). The methodology is based on the observation of the transient temperature rise and determination of the power losses by means of curves representing the derivative of temperature as a function of power losses dissipated in the transformer. First, the thermal calibration characteristics had to be obtained from a simple experiment, where power losses… Show more

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Cited by 18 publications
(11 citation statements)
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“…where is power dissipated in a heating component (core or winding), Rth0, Rth1 and b are the model parameters. Of course, for each of the three transient thermal impedances (1), there is a different set of parameter values describing thermal capacitances and thermal resistances. Changes of individual components of thermal resistance are modelled using the controlled current sources Gi according to the Equation [33]: This model consists of four subcircuits.…”
Section: New Nonlinear Thermal Model Of Inductorsmentioning
confidence: 99%
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“…where is power dissipated in a heating component (core or winding), Rth0, Rth1 and b are the model parameters. Of course, for each of the three transient thermal impedances (1), there is a different set of parameter values describing thermal capacitances and thermal resistances. Changes of individual components of thermal resistance are modelled using the controlled current sources Gi according to the Equation [33]: This model consists of four subcircuits.…”
Section: New Nonlinear Thermal Model Of Inductorsmentioning
confidence: 99%
“…Inductors are important components of switch-mode power converters. These components are used to store electrical energy [1][2][3][4][5]. Properties of these components indeed depend on physical phenomena occurring in the winding and in the ferromagnetic core contained in the inductor [1,[6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
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“…The early detection of faults prevents financial loss and downtimes. In the literature researchers developed methods of fault detection based on acoustic [1][2][3][4][5][6][7][8][9][10][11][12][13], thermal [14][15][16][17][18][19][20] and vibration signals [21][22][23][24][25][26][27][28][29]. An acoustic signal is difficult to process because microphone records many sounds from environment.…”
Section: Introductionmentioning
confidence: 99%