The use of Unscented Transforms for statistical analysis in EMC

Menezes, L.R.A.X. de; Thomas, D.W.P.; Christopoulos, C.; Ajayi, A.; Sewell, P.

doi:10.1109/emceurope.2008.4786803

Cited by 30 publications

(17 citation statements)

References 2 publications

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“…The weighted sum of the sigma points produces the expected value and variance of the mapping. The UT uses the moments of the PDF to develop the sigma points [8]. The UT has been utilized in nonlinear problems in electromagnetic compatibility [8], [9].…”

Section: A Unscented Transform (Ut)mentioning

confidence: 99%

“…The UT uses the moments of the PDF to develop the sigma points [8]. The UT has been utilized in nonlinear problems in electromagnetic compatibility [8], [9]. In [10] the unscented transform was described as an approximate estimator which works by approximating a continuous distribution function with PDF w(x) as a discrete distribution w(x i ) using deterministically chosen points called sigma points (S i ) such that the moments of both distributions are equal i.e.…”

Section: A Unscented Transform (Ut)mentioning

confidence: 99%

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Method of efficiently predicting the conducted emissions of multiple VSCs

Ivry

Oke

Thomas

et al. 2014

2014 International Symposium on Electromagnetic Compatibility

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Abstract-Various types of power converters includingVoltage Source Converters (VSCs) have been known to produce conducted emissions. The net effect of simultaneously operating multiple VSCs is non-linear and this makes the prediction of the emission level more difficult. This paper presents an efficient method that can be used to predict conducted emissions of multiple VSCs in the presence of various uncertainties. It utilizes the Univariate Dimension Reduction (UDR) and the Bivariate Dimension Reduction (BDR) technique to predict the conducted emission level of multiple VSCs.

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Section: A Unscented Transform (Ut)mentioning

confidence: 99%

Section: A Unscented Transform (Ut)mentioning

confidence: 99%

Method of efficiently predicting the conducted emissions of multiple VSCs

Ivry

Oke

Thomas

et al. 2014

2014 International Symposium on Electromagnetic Compatibility

Self Cite

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“…The sigma points are developed using the moments of the distribution functions pdf, and the weighted average of the sigma points produces the expectation of the mapping [29]. The UT has been utilized in nonlinear problems in electromagnetic compatibility [19,20,30] and medical statistics amongst other fields [22]. This method can be used in approximating a continuous distribution function with pdf ( ) as a discrete distribution using deterministically chosen points called sigma points ( ) and weights ( ) such that the moments of both distributions are equal [31].…”

Section: Unscented Transform (Ut)mentioning

confidence: 99%

“…However, other methods which do not require these simplifications or assumptions in designing the systems/converters or in generating random occurrences can be deployed. They include the Monte Carlo Simulation (MCS) [5,17,18], Unscented Transform (UT) [19,20], Point Estimate Method (PEM) [21], and Univariate Dimension Reduction (UDR) [22,23]. For instance, in Probabilistic Load Flow (PLF) studies, some of these methods have been utilized.…”

Section: Introductionmentioning

confidence: 99%

Predicting Harmonic Distortion of Multiple Converters in a Power System

Ivry

Oke

Thomas

et al. 2017

Journal of Electrical and Computer Engineering

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Various uncertainties arise in the operation and management of power systems containing Renewable Energy Sources (RES) that affect the systems power quality. These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the prediction of harmonics in a power system containing multiple Voltage Source Converters (VSCs) is investigated. The study focuses on the prediction of harmonic distortion level in multiple VSCs when some system or design parameters are only known within certain constraints. The Univariate Dimension Reduction (UDR) method was utilized in this study as an efficient predictive tool for the level of harmonic distortion of the VSCs measured at the Point of Common Coupling (PCC) to the grid. Two case studies were considered and the UDR technique was also experimentally validated. The obtained results were compared with that of the Monte Carlo Simulation (MCS) results.

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“…The full rank LCMV and reduced rank LCMV adaptive lters performance is evaluated in comparison of well known results presented in [4,7,20]. The Unscented Transform performance assessment evaluation uses results and techniques derived from [2,21,22,23,16].…”

Section: Simulation Resultsmentioning

confidence: 99%

Unscented transform performance assessment of adaptive lcmv filters and radioaltimeters

Júnior¹,

Sebastião²

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The use of Unscented Transforms for statistical analysis in EMC

Cited by 30 publications

References 2 publications

Method of efficiently predicting the conducted emissions of multiple VSCs

Method of efficiently predicting the conducted emissions of multiple VSCs

Predicting Harmonic Distortion of Multiple Converters in a Power System

Unscented transform performance assessment of adaptive lcmv filters and radioaltimeters

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