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Pregled bibliografske jedinice broj: 424188

Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation


Džapo, Hrvoje; Giannini, Roberto; Tonković, Stanko
Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation // Electromagnetics, 29 (2009), 8; 586-604 doi:10.1080/02726340903287331 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 424188 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation

Autori
Džapo, Hrvoje ; Giannini, Roberto ; Tonković, Stanko

Izvornik
Electromagnetics (0272-6343) 29 (2009), 8; 586-604

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Monte Carlo Markov chains; Metropolis-Hastings algorithm; inverse problems; data fitting; grounding systems

Sažetak
Accurate reconstruction of the earth surface potential distribution functional shape from a discrete set of measuring points is important in the grounding system safety assessment process. Commonly used scattered data interpolation techniques may produce unreliable results under unfavorable sampling conditions. A novel model-based mathematical approach to the surface potential distribution reconstruction is proposed, which is based on the stochastic approach to the inverse problem solution, implemented by means of the Monte Carlo Markov chain simulation. The reconstruction quality of the potential distribution is improved considerably by incorporating the physical model of the grounding grid behavior into the interpolation algorithm, particularly for sparse and irregular noisy sampling sets.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036-0362979-1554 - Neinvazivna mjerenja i postupci u biomedicini (Tonković, Stanko, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Roberto Giannini (autor)

Avatar Url Hrvoje Džapo (autor)

Avatar Url Stanko Tonković (autor)

Citiraj ovu publikaciju

Džapo, Hrvoje; Giannini, Roberto; Tonković, Stanko
Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation // Electromagnetics, 29 (2009), 8; 586-604 doi:10.1080/02726340903287331 (međunarodna recenzija, članak, znanstveni)
Džapo, H., Giannini, R. & Tonković, S. (2009) Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation. Electromagnetics, 29 (8), 586-604 doi:10.1080/02726340903287331.
@article{article, year = {2009}, pages = {586-604}, DOI = {10.1080/02726340903287331}, keywords = {Monte Carlo Markov chains, Metropolis-Hastings algorithm, inverse problems, data fitting, grounding systems}, journal = {Electromagnetics}, doi = {10.1080/02726340903287331}, volume = {29}, number = {8}, issn = {0272-6343}, title = {Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation}, keyword = {Monte Carlo Markov chains, Metropolis-Hastings algorithm, inverse problems, data fitting, grounding systems} }
@article{article, year = {2009}, pages = {586-604}, DOI = {10.1080/02726340903287331}, keywords = {Monte Carlo Markov chains, Metropolis-Hastings algorithm, inverse problems, data fitting, grounding systems}, journal = {Electromagnetics}, doi = {10.1080/02726340903287331}, volume = {29}, number = {8}, issn = {0272-6343}, title = {Model-Based Reconstruction of the Grounding System Surface Potential Distribution by Means of Monte Carlo Markov Chain Simulation}, keyword = {Monte Carlo Markov chains, Metropolis-Hastings algorithm, inverse problems, data fitting, grounding systems} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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