Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques
Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a numbe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kasmi, Chaouki [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on electromagnetic compatibility - New York, NY : Inst., 1964, 58(2016), 4, Seite 1143-1150 |
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| Übergeordnetes Werk: |
volume:58 ; year:2016 ; number:4 ; pages:1143-1150 |
| Links: |
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| DOI / URN: |
10.1109/TEMC.2016.2557847 |
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| Katalog-ID: |
OLC1979943958 |
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| 520 | |a Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. | ||
| 650 | 4 | |a Probability | |
| 650 | 4 | |a Confidence interval (CI) | |
| 650 | 4 | |a Statistical analysis | |
| 650 | 4 | |a Estimation | |
| 650 | 4 | |a Electromagnetic compatibility | |
| 650 | 4 | |a statistics | |
| 650 | 4 | |a electromagnetic interference | |
| 650 | 4 | |a resampling techniques | |
| 650 | 4 | |a Standards | |
| 650 | 4 | |a Electromagnetics | |
| 650 | 4 | |a statistical electromagnetics | |
| 650 | 4 | |a Optimization | |
| 650 | 4 | |a electromagnetic compatibility (EMC) | |
| 700 | 1 | |a Lallechere, Sebastien |4 oth | |
| 700 | 1 | |a Esteves, Jose Lopes |4 oth | |
| 700 | 1 | |a Girard, Sebastien |4 oth | |
| 700 | 1 | |a Bonnet, Pierre |4 oth | |
| 700 | 1 | |a Paladian, Francoise |4 oth | |
| 700 | 1 | |a Prouff, Emmanuel |4 oth | |
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10.1109/TEMC.2016.2557847 doi PQ20160815 (DE-627)OLC1979943958 (DE-599)GBVOLC1979943958 (PRQ)c711-9f0eacfb9e99721fd512587b87afec621432aaa3ac03e8009ab943c05ca8d8f60 (KEY)0039395920160000058000401143stochasticemcemiexperimentsoptimizationusingresamp DE-627 ger DE-627 rakwb eng 620 DNB 53.11 bkl Kasmi, Chaouki verfasserin aut Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) Lallechere, Sebastien oth Esteves, Jose Lopes oth Girard, Sebastien oth Bonnet, Pierre oth Paladian, Francoise oth Prouff, Emmanuel oth Enthalten in IEEE transactions on electromagnetic compatibility New York, NY : Inst., 1964 58(2016), 4, Seite 1143-1150 (DE-627)129358509 (DE-600)160435-1 (DE-576)014730790 0018-9375 nnns volume:58 year:2016 number:4 pages:1143-1150 http://dx.doi.org/10.1109/TEMC.2016.2557847 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7467511 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2016 53.11 AVZ AR 58 2016 4 1143-1150 |
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10.1109/TEMC.2016.2557847 doi PQ20160815 (DE-627)OLC1979943958 (DE-599)GBVOLC1979943958 (PRQ)c711-9f0eacfb9e99721fd512587b87afec621432aaa3ac03e8009ab943c05ca8d8f60 (KEY)0039395920160000058000401143stochasticemcemiexperimentsoptimizationusingresamp DE-627 ger DE-627 rakwb eng 620 DNB 53.11 bkl Kasmi, Chaouki verfasserin aut Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) Lallechere, Sebastien oth Esteves, Jose Lopes oth Girard, Sebastien oth Bonnet, Pierre oth Paladian, Francoise oth Prouff, Emmanuel oth Enthalten in IEEE transactions on electromagnetic compatibility New York, NY : Inst., 1964 58(2016), 4, Seite 1143-1150 (DE-627)129358509 (DE-600)160435-1 (DE-576)014730790 0018-9375 nnns volume:58 year:2016 number:4 pages:1143-1150 http://dx.doi.org/10.1109/TEMC.2016.2557847 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7467511 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2016 53.11 AVZ AR 58 2016 4 1143-1150 |
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10.1109/TEMC.2016.2557847 doi PQ20160815 (DE-627)OLC1979943958 (DE-599)GBVOLC1979943958 (PRQ)c711-9f0eacfb9e99721fd512587b87afec621432aaa3ac03e8009ab943c05ca8d8f60 (KEY)0039395920160000058000401143stochasticemcemiexperimentsoptimizationusingresamp DE-627 ger DE-627 rakwb eng 620 DNB 53.11 bkl Kasmi, Chaouki verfasserin aut Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) Lallechere, Sebastien oth Esteves, Jose Lopes oth Girard, Sebastien oth Bonnet, Pierre oth Paladian, Francoise oth Prouff, Emmanuel oth Enthalten in IEEE transactions on electromagnetic compatibility New York, NY : Inst., 1964 58(2016), 4, Seite 1143-1150 (DE-627)129358509 (DE-600)160435-1 (DE-576)014730790 0018-9375 nnns volume:58 year:2016 number:4 pages:1143-1150 http://dx.doi.org/10.1109/TEMC.2016.2557847 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7467511 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2016 53.11 AVZ AR 58 2016 4 1143-1150 |
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10.1109/TEMC.2016.2557847 doi PQ20160815 (DE-627)OLC1979943958 (DE-599)GBVOLC1979943958 (PRQ)c711-9f0eacfb9e99721fd512587b87afec621432aaa3ac03e8009ab943c05ca8d8f60 (KEY)0039395920160000058000401143stochasticemcemiexperimentsoptimizationusingresamp DE-627 ger DE-627 rakwb eng 620 DNB 53.11 bkl Kasmi, Chaouki verfasserin aut Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) Lallechere, Sebastien oth Esteves, Jose Lopes oth Girard, Sebastien oth Bonnet, Pierre oth Paladian, Francoise oth Prouff, Emmanuel oth Enthalten in IEEE transactions on electromagnetic compatibility New York, NY : Inst., 1964 58(2016), 4, Seite 1143-1150 (DE-627)129358509 (DE-600)160435-1 (DE-576)014730790 0018-9375 nnns volume:58 year:2016 number:4 pages:1143-1150 http://dx.doi.org/10.1109/TEMC.2016.2557847 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7467511 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2016 53.11 AVZ AR 58 2016 4 1143-1150 |
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10.1109/TEMC.2016.2557847 doi PQ20160815 (DE-627)OLC1979943958 (DE-599)GBVOLC1979943958 (PRQ)c711-9f0eacfb9e99721fd512587b87afec621432aaa3ac03e8009ab943c05ca8d8f60 (KEY)0039395920160000058000401143stochasticemcemiexperimentsoptimizationusingresamp DE-627 ger DE-627 rakwb eng 620 DNB 53.11 bkl Kasmi, Chaouki verfasserin aut Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) Lallechere, Sebastien oth Esteves, Jose Lopes oth Girard, Sebastien oth Bonnet, Pierre oth Paladian, Francoise oth Prouff, Emmanuel oth Enthalten in IEEE transactions on electromagnetic compatibility New York, NY : Inst., 1964 58(2016), 4, Seite 1143-1150 (DE-627)129358509 (DE-600)160435-1 (DE-576)014730790 0018-9375 nnns volume:58 year:2016 number:4 pages:1143-1150 http://dx.doi.org/10.1109/TEMC.2016.2557847 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7467511 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2016 53.11 AVZ AR 58 2016 4 1143-1150 |
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Enthalten in IEEE transactions on electromagnetic compatibility 58(2016), 4, Seite 1143-1150 volume:58 year:2016 number:4 pages:1143-1150 |
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620 DNB 53.11 bkl Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques Probability Confidence interval (CI) Statistical analysis Estimation Electromagnetic compatibility statistics electromagnetic interference resampling techniques Standards Electromagnetics statistical electromagnetics Optimization electromagnetic compatibility (EMC) |
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stochastic emc/emi experiments optimization using resampling techniques |
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Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques |
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Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. |
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Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. |
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Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values. |
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Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques |
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Lallechere, Sebastien Esteves, Jose Lopes Girard, Sebastien Bonnet, Pierre Paladian, Francoise Prouff, Emmanuel |
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