Publication | Open Access
Feature Selective Validation (FSV) for Validation of Computational Electromagnetics (CEM). Part II— Assessment of FSV Performance
365
Citations
4
References
2006
Year
Electrical EngineeringEngineeringPattern RecognitionInter Alia ValidationSoftware TestingComputer EngineeringFeature SelectionFsv PerformanceComputational ElectromagneticsVerification And ValidationMicrowave DiagnosticsEmc EngineersField TestField TestingFeature Selective ValidationEmc MeasurementElectromagnetic Compatibility
The feature selective validation (FSV) method enables objective, quantified comparison of data for validating computational electromagnetics. This paper investigates how well FSV aligns with visual assessment and its practical benefits in validation. The study compares FSV output to an international survey of EMC engineers and examines its use through a case study. See companion paper “Feature selective validation for validation of computational electromagnetics.
The feature selective validation (FSV) method has been proposed as a technique to allow the objective, quantified, comparison of data for inter alia validation of computational electromagnetics. In the companion paper "Feature selective validation for validation of computational electromagnetics. Part I-The FSV method," the method was outlined in some detail. This paper addresses two specific issues related to the implementation of the FSV method, namely "how well does it produce results that agree with visual assessment?" and "what benefit can it provide in a practical validation environment?" The first of these questions is addressed by comparing the FSV output to the results of an extensive survey of EMC engineers from several countries. The second is approached via a case study analysis
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