Dielectric Insulation in Medium- and High-Voltage Power Equipment: Degradation Failure Mechanism, Diagnostics, Electrical Parameters Improvement: 2nd Edition

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Bol This Special Issue focuses on detecting degradation and failure mechanisms of dielectric insulation in medium- and high-voltage power equipment. Diagnostic research aims to eliminate failures in the insulation components of power equipment. This effectively reduces, or even eliminates, catastrophic failures and prevents the environmental pollution associated with them. The Special Issue also covers measurement issues and the proper use of sensors and other solutions for the continuous monitoring of power equipment component conditions. The presented research focuses on advanced methods for diagnosing, monitoring, and improving the parameters of dielectric insulation in medium- and high-voltage power equipment. It includes the implementation of an innovative partial discharge echo method for detecting local defects, the analysis of the conductivity of moistened insulation impregnated with eco-friendly bio-oil, and the localization of short-circuit faults in transformer windings using oscillatory waves. Furthermore, the publications describe the use of machine learning algorithms to assess the technical condition of transformers, numerical simulations of discharges in gaseous cavities of cables, and multi-criteria risk assessment of circuit breaker failures. A significant part also involves studying the durability of turn insulation under high-frequency impulses, detecting faults in cable sheaths based on return currents, testing eco-friendly gas mixtures as an alternative to pure SF6, and a systematic review of explosion mechanisms in cable joints along with preventive measures.

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This Special Issue focuses on detecting degradation and failure mechanisms of dielectric insulation in medium- and high-voltage power equipment. Diagnostic research aims to eliminate failures in the insulation components of power equipment. This effectively reduces, or even eliminates, catastrophic failures and prevents the environmental pollution associated with them. The Special Issue also covers measurement issues and the proper use of sensors and other solutions for the continuous monitoring of power equipment component conditions. The presented research focuses on advanced methods for diagnosing, monitoring, and improving the parameters of dielectric insulation in medium- and high-voltage power equipment. It includes the implementation of an innovative partial discharge echo method for detecting local defects, the analysis of the conductivity of moistened insulation impregnated with eco-friendly bio-oil, and the localization of short-circuit faults in transformer windings using oscillatory waves. Furthermore, the publications describe the use of machine learning algorithms to assess the technical condition of transformers, numerical simulations of discharges in gaseous cavities of cables, and multi-criteria risk assessment of circuit breaker failures. A significant part also involves studying the durability of turn insulation under high-frequency impulses, detecting faults in cable sheaths based on return currents, testing eco-friendly gas mixtures as an alternative to pure SF6, and a systematic review of explosion mechanisms in cable joints along with preventive measures.


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Merk MDPI AG
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  • 9783725884353
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