发电厂高压电气设备绝缘故障检测技术研究

Key Points

• The central aim is to analyze insulation fault detection techniques for high voltage electrical equipment in power plants.
• Investigated physical mechanisms and types of insulation faults.
• Explored traditional and modern intelligent detection technologies.
• Developed a deep learning-based fault diagnosis model utilizing multimodal sensing data.
• The deep learning model achieved an insulation fault identification accuracy exceeding 95%.
• Combined use of multiple detection technologies enhanced diagnostic precision.