An Improved Method of Trapezoidal Waves Time-Domain Parameters Extraction from EMI Spectrum

Su, Donglin; Xu, Huibin; Zhou, Zongfei; Liu, Yan

doi:10.23919/aces48530.2019.9060810

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…As a result, identifying the trapezoidal wave and extracting its parameters from its emission spectrum are an important work to find the electromagnetic interference (EMI) [47]. In addition, the stability of the parameter extraction method has a great influence on the accurate positioning of EMI [28].…”

Section: Parameters Extraction For Trapezoidal Wavementioning

confidence: 99%

“…where A i is the measurement harmonic amplitude of the ith harmonic in dB form, A 1 is the first measurement harmonic amplitude in dB form, a i is calculated by (31), and N is the total number of sampling. Optimization algorithms like AWDO [28] are applied to obtain the optimal value of D 1 , D 2 , and D 3 , so as MEDO.…”

Section: Parameters Extraction For Trapezoidal Wavementioning

confidence: 99%

“…One typical representative is wind driven optimization (WDO) [25,26], which describes the motion of air particle through Newton's second law of motion and ideal gas law. Because they do not rely on the mathematical properties of the objective functions, this kind of optimization algorithm is widely used in engineering applications [27,28].…”

Section: Introductionmentioning

confidence: 99%

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A new optimization algorithm applied in electromagnetics — Maxwell’s equations derived optimization (MEDO)

Yang

et al. 2020

Sci. China Inf. Sci.

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An algorithm of sequential systems of linear equations for nonlinear optimization problems with arbitrary initial point Science in China Series A-Mathematics 40, 561 (1997); Numerical optimization method for HJI equations derived from robust receding horizon control schemes and controller design SCIENCE CHINA Information Sciences 55, 214 (2012); A new algorithm for the problem of robust single objective optimization

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Section: Parameters Extraction For Trapezoidal Wavementioning

confidence: 99%

Section: Parameters Extraction For Trapezoidal Wavementioning

confidence: 99%

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A new optimization algorithm applied in electromagnetics — Maxwell’s equations derived optimization (MEDO)

Yang

et al. 2020

Sci. China Inf. Sci.

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“…It claims that the electromagnetic emission sources are divided into several groups, like sinusoidal excitation, trapezoidal wave excitation, ringing signal excitation and others, in which each type corresponds to specific physical systems. It has been successfully applied to electromagnetic emission source identification in linear circuits, like the fundamental and duty cycle extraction in trapezoid excitations [11], parameters extraction in damping excitation [12]. When it comes to nonlinear circuits, it is still possible to identify the electromagnetic emission sources only from the output spectrum based on the Basic Waveform Theory.…”

Section: Introductionmentioning

confidence: 99%

A New Electromagnetic Emission Source Frequency and Factor Identification Approach for Nonlinear Circuits From the Output Spectrum Data

Yang

et al. 2020

IEEE Access

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For the practical nonlinear circuits, a number of new frequencies are generated in the output spectrum, which makes electromagnetic interference location quite challenging. To mitigate this problem, an approach is proposed to identify the electromagnetic emission source frequencies and nonlinear factors from the output spectrum of nonlinear circuits. The amplitude of the output spectrum with the input of two sine signals is first calculated based on the power series. Then, the Order Image (OI) is defined to reveal the output spectrum features, and its symmetry characteristic has been comprehensively analyzed. Results show that the maximum symmetry index is observed when the reference frequencies are equal to the excitation frequencies. Based on this observation, the electromagnetic emission source frequencies can be obtained. In addition, a Backward Algorithm (BA) has been introduced to extract nonlinear factors. The proposed approach only requires the output spectrum and the amplitude of one excitation. Compared with other techniques, like the Support Vector Machines and the Recurrent Neural Network, it needs much less prior information. Finally, several examples are carried out to verify the effectiveness of the proposed approach. Results show that the emission source frequencies and nonlinear factors can be accurately extracted. Therefore, the proposed approach shows great potential in electromagnetic interference location and characteristic analysis for nonlinear circuits. INDEX TERMS Electromagnetic emission sources, identification, nonlinear circuits, Order Image, power series.

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A Modeling Method and Characteristics Study of EMI in 12-Phase Rectifier Circuit With Actual Switching Process Based on State Transition

Xu,

Liu,

Mou

et al. 2024

IEEE Trans. Electromagn. Compat.

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An Improved Method of Trapezoidal Waves Time-Domain Parameters Extraction from EMI Spectrum

Cited by 5 publications

References 5 publications

A new optimization algorithm applied in electromagnetics — Maxwell’s equations derived optimization (MEDO)

A new optimization algorithm applied in electromagnetics — Maxwell’s equations derived optimization (MEDO)

A New Electromagnetic Emission Source Frequency and Factor Identification Approach for Nonlinear Circuits From the Output Spectrum Data

A Modeling Method and Characteristics Study of EMI in 12-Phase Rectifier Circuit With Actual Switching Process Based on State Transition

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