Electronics 期刊专题“Advanced Online Monitoring and Fault Diagnosis of Power Equipment”目前开始火热征稿啦！课题广泛+文章处理效率高，欢迎各位投稿！更多相关专刊请 关注公众号（小红书同名）并回复“专刊”进入专刊资源群聊。专刊的部分编辑也在群里，欢迎大家带帖询问。有需要帮助宣传的也随时欢迎联系后台，回复“互助”。每个人都可以是公众号的创作者！
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Power equipment is the fundamental component of the power system. Its reliability and stability can guarantee the safe and efficient operation of the system. With the development of the power system, the voltage level continues to rise. High-frequency and high-intensity voltage shocks affect the operational reliability of the power equipment. Moreover, the proportion of new energy sources connected to the grid has significantly increased. Since they are connected to the grid through electronic power equipment, the complexity of harmonic components in the power system is exacerbated. Thus, problems with insulation aging and equipment overheating are accelerating, and the lifespan of equipment is shortening. The above issues pose serious challenges to the safety of power equipment. However, traditional equipment monitoring and fault diagnosis methods are difficult to use in order to cope with unexpected situations and have high operational risks and maintenance costs, low diagnostic accuracy, and a lack of generalizability for equipment with different parameters. Therefore, there is an urgent need for advanced online monitoring and fault diagnosis methods for power equipment to achieve real-time comprehensive status monitoring and accurate fault diagnosis.1.power equipment protection3.application of artificial intelligence in fault diagnosis6.insulation deterioration全文投稿截止日期：2025年1月31日。（如有延期请关注留言区）https://www.mdpi.com/journal/electronics/special_issues/Monitoring_Diagnosis_Power
