Risk Detection of Operational Faults in Distribution Grid Equipment Based on Support Vector Machines and Risk Characterization

Key Points

• The study aims to enhance real-time detection of operational failure risks in distribution grid equipment using advanced algorithms.
• Utilized support vector machines for analyzing operational data
• Focused on various types of equipment in the distribution grid
• Analyzed extensive operational data across different time periods
• Achieved improved accuracy in detecting operational faults
• Increased timeliness in identifying potential failures
• Demonstrated the effectiveness of machine learning in risk assessment