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Montana, Johny
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Nombre
Montana, Johny
Departamento
Campus / Sede
Campus Casa Central ValparaĂso
Email
ORCID
Scopus Author ID
24779735600
Now showing 1 - 2 of 2
- PublicationA comparison of inductive sensors in the characterization of partial discharges and electrical noise using the chromatic technique(2018-04-01)
; ; ;de Castro, Bruno Albuquerque; ;Ulson, José Alfredo Covolan ;Muhammad-Sukki, FirdausBani, Nurul AiniPartial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals. - Publication3D characterization of electrical tree structures(2019-02-01)
; ; ;Angulo, Alejandro; ;Rowland, Simon M. ;Iddrissu, IbrahimBradley, Robert S.Electrical trees are one of the main mechanisms of degradation in solid polymeric insulation leading to the failure of high voltage equipment. They are interconnected networks of hollow tubules typically characterized from two-dimensional (2D) projections of their physical manifestation. It is shown that complete characterization requires a three-dimensional (3D) imaging technique such as X-ray computed tomography (XCT). We present a comprehensive set of parameters, quantitatively characterizing two types of tree topology, conventionally known as bush- and branchtype. Fractal dimensions are determined from 3D models and from 2D projections, and a simple quantitative relationship is established between the two for all but dense bush trees. Parameters such as number of nodes, segment length, tortuosity and branch angle are determined from tree skeletons. The parameters most strongly indicative of the differences in the structure are the number of branches, individual channel size, channel tortuosity, nodes per unit length and fractal dimension. Studying two stages of a bush tree's development showed that channels grew in width, while macroscopic parameters such as the fractal dimension and tortuosity were unchanged. These parameters provide a basis for tree growth models, and can shed light on growth mechanisms.Scopus© Citations 38