Abstract
This article describes an original software package conceived for an optimal design and for predictive maintenance of high voltage commutation equipment (switches). Initial data was measured in the industrial environment and, by consequent, it was used for establishing a digital testing and design procedure for an optimal diagnosis and assessment of the physical state of internal High Voltage contacts. All solutions used for the monitoring and design improvement application, described here, can be partially used for other high voltage devices (transformers, surge arresters etc.). In this paper, we will present a dedicated fuzzy-logic algorithm, applied in order to establish the main issues concerning its predictive maintenance, conclusions also applied for the future design of such pieces of equipment. This fuzzy algorithm could be an example for the integration of advanced algorithms and software solutions mainly for the necessary refurbishment of any high voltage equipment in service.
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Crisovan, F.I., Simo, A., Frigura-Iliasa, M., Frigura-Iliasa, F.M., Dzitac, S. (2023). Fuzzy Logic Based Diagnostic System for High Voltage Devices. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_4
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DOI: https://doi.org/10.1007/978-3-031-23636-5_4
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