Abstract:The paper deals with a procedure for approximate symbolic analysis of linear circuits in the frequency domain, which is based on a combination of simple parametric approach and topology transformations. The large-change sensitivities are computed using the cofactor matrix which can be obtained by a simple matrix inversion. An effective cofactor-updating strategy based on the use of the Sherman-Morrison formula is also presented.
“…, , , In the next step, the unknown parameters L 1 , C 2 , R 1 were estimated by the parametric fault diagnosis. The system of nonlinear equations is based on test frequencies (9) and polynomial coefficients (10). Fig.…”
The paper shows a procedure for testing large analog circuits or circuits with parasitic parameters via multi-frequency parametric fault diagnosis. To simplify and accelerate calculations the approximate symbolic analysis is used and unknown tested parameters are analyzed in separate frequency bands. Classification of unknown parameters into frequency bands is based on sensitivities. The proposed procedure is shown on parametric diagnosis of an EMI filter.
“…, , , In the next step, the unknown parameters L 1 , C 2 , R 1 were estimated by the parametric fault diagnosis. The system of nonlinear equations is based on test frequencies (9) and polynomial coefficients (10). Fig.…”
The paper shows a procedure for testing large analog circuits or circuits with parasitic parameters via multi-frequency parametric fault diagnosis. To simplify and accelerate calculations the approximate symbolic analysis is used and unknown tested parameters are analyzed in separate frequency bands. Classification of unknown parameters into frequency bands is based on sensitivities. The proposed procedure is shown on parametric diagnosis of an EMI filter.
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