Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
Partial discharge (PD) detection is considered one of the most crucial and effective methods for identifying defects in electrical equipment. Consequently, investigating advanced and efficient PD monitoring techniques is essential for the development of gas-insulated equipment (GIE) and the construction of ultra-high-voltage (UHV) networks. This paper first explores the causes and impact characteristics of various defects in GIE based on experimental results and simulation analysis. It then reviews current research on advanced PD measurement techniques, integrating acoustic, chemical and optical methods. The findings preliminarily demonstrate the unique advantages and applicability of the advanced methods for complex detection environments. Finally, this paper addresses the technical challenges and potential breakthroughs associated with these detection techniques. In this regard, this study aims to provide technical insights and research directions for defect detection techniques in UHV GIE.
Farhad Rachidi-Haeri, José-Luis Bermudez