Insulation Defect Modelling and Partial Discharge Typology Identification: A Robust and Automatic Approach
Source abstract
Abstract
This paper has a twofold aim. On one side, it aims to show a paramount application of an innovative approach to automatic partial discharge (PD) monitoring and analysis, referring to types of cable defects that can trigger internal and surface discharges. The type of defect generating PD is automatically identified, which is of fundamental importance to develop condition maintenance tools of any electrical asset component. On the other side, the way to create artificial defects, namely using a tool to test any PD measurement approach, is illustrated and discussed, relying upon partial discharge inception field and voltage modelling. Also, the so-called three-leg approach, which is capable of achieving the optimal and reliable design of electrical insulation systems, was applied and successfully validated for simple test objects and real electrical assets such as cable with artificially developed defects.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: High voltage insulation and dielectric phenomena · Power Transformer Diagnostics and Insulation · Electrostatic Discharge in Electronics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center for Advanced Power Systems (CAPS), Florida State University, Tallahassee, FL 32310, USA
Department of Electrical and Information Engineering (DEI), University of Bologna, 40126 Bologna, Italy
Funding
Office of Naval Research
References (26)
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