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On the estimation of actual space charge using pulsed electro-acoustic system

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dc.contributor.author Gupta, A.
dc.contributor.author Reddy, C. C.
dc.date.accessioned 2021-09-30T23:35:21Z
dc.date.available 2021-09-30T23:35:21Z
dc.date.issued 2021-10-01
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2844
dc.description.abstract Pulsed electro-acoustic measurement system is one of the versatile systems for measurement of charges accumulated in dielectric materials. The charge is measured as a voltage signal observed at an amplifier output which gets input from an acoustic sensor. Because of limited frequency bandwidth of the acoustic sensor and amplifier, all experimentally acquired signals require processing technique like deconvolution to estimate original signal (charge). Due to presence of noise in all experimental signals, deconvolution turns out to be an optimization problem. The optimum deconvolution involves estimation of optimum value of a deconvolution parameter, also known as regularization parameter. This parameter controls the tradeoff between signal distortion and noise minimization. In literature, several methods were suggested for estimation of optimum value of regularization parameter. However, each method yields a different estimate for the parameter. In this paper, the suitability of these conventional methods is investigated for estimation of space charge. Also a simple, yet, better estimation method, specific to space charge estimation, is presented. Interesting results and discussion on efficacy of these methods against, simple spectral division followed by Gaussian filtering, is also presented. en_US
dc.language.iso en_US en_US
dc.subject Pulsed electro-acoustic system en_US
dc.subject deconvolution en_US
dc.subject signal restoration en_US
dc.subject Tikhonov regularization en_US
dc.subject parameter estimation en_US
dc.subject space charge en_US
dc.subject breakdown en_US
dc.title On the estimation of actual space charge using pulsed electro-acoustic system en_US
dc.type Article en_US


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