Multifractal Analysis of Geomagnetically Induced Currents using Wavelet Leaders
dc.contributor.author | Wirsing, Karlton E. | en |
dc.contributor.committeechair | Mili, Lamine M. | en |
dc.contributor.committeemember | Clauer, C. Robert | en |
dc.contributor.committeemember | Yu, Guoqiang | en |
dc.contributor.committeemember | Kekatos, Vasileios | en |
dc.contributor.committeemember | Lu, Chang-Tien | en |
dc.contributor.department | Electrical and Computer Engineering | en |
dc.date.accessioned | 2020-06-08T21:04:22Z | en |
dc.date.available | 2020-06-08T21:04:22Z | en |
dc.date.issued | 2020-02-21 | en |
dc.description.abstract | The sun is constantly emitting electrons and ions as magnetized plasma, forming the solar wind and carrying with it the sun’s rotating magnetic field. The solar wind subsequently interacts with Earth’s magnetosphere and the magnetospheres of other planets. Occasionally large amounts of magnetized plasma are released at one time in a Corona mass ejection (CME). When the CME interacts with Earth’s magnetic field, it induces perturbations that may have a significant impact on critical infrastructure, for instance, by disturbing communication systems, and inducing currents on pipelines and electric power lines, which in turn may cause increased corrosion or blackouts, among other effects. In this dissertation, we analyze measured electrical signals provided to us by the Finnish Meteorological Institute, which were induced by geomagnetic storms on pipelines located in Finland and recorded in 2003. Specifically, we perform a wavelet leader multifractal analysis of these current signals to generate singularity spectra, and then using the bootstrapping technique, we apply statistical tests to show that these signals exhibit multifractal characteristics. We also performed surrogate testing to show that these characteristics were unique to the signal. | en |
dc.description.abstractgeneral | Earth’s weather affects all of us every day. The solar space environment has weather of its own that affects us as well. Storms of a size that far exceed anything on Earth can impact Earth and affect our infrastructure. One of the most powerful phenomena that occur, called solar corona mass ejections, results when the sun ejects a large amount of plasma. This can interact with the Earth’s magnetic field, which in turn induces perturbations that may have a significant impact on critical infrastructure, for instance, by disturbing communication systems, and inducing currents on pipelines and electric power lines. The currents can cause increased corrosion or blackouts, among other effects. In this dissertation, we analyze measured electrical signals provided to us by the Finnish Meteorological Institute, which were induced by geomagnetic storms on pipelines located in Finland and recorded in 2003. Specifically, we perform a statistical analysis of these current signals to decide whether they exhibit multifractal characteristics. | en |
dc.description.degree | Ph.D. | en |
dc.format.medium | ETD | en |
dc.identifier.uri | http://hdl.handle.net/10919/98781 | en |
dc.language.iso | en_US | en |
dc.publisher | Virginia Tech | en |
dc.rights | Creative Commons Attribution-ShareAlike 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | en |
dc.subject | Wavelet | en |
dc.subject | Fractal | en |
dc.subject | Wavelet Leader | en |
dc.subject | Multifractal | en |
dc.subject | Geomagnetically Induced Currents | en |
dc.title | Multifractal Analysis of Geomagnetically Induced Currents using Wavelet Leaders | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Ph.D. | en |