Fault detection method for power telecontrol system
By building a fault detection model and sensor equipment based on machine learning algorithms, real-time fault detection of the electric power telecontrol system is achieved, which solves the problem of low efficiency of traditional methods and improves the accuracy of fault detection and system stability.
Patent Information
- Application Number
- CN202510541068.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-28
- Publication Date
- 2025-09-05
AI Technical Summary
Traditional power telecontrol system fault detection methods are inefficient and have difficulty in detecting potential faults in a timely manner. They cannot meet the high accuracy and real-time requirements of modern power systems and are prone to causing power accidents.
Build a fault detection model based on machine learning algorithms, combine sensors and data acquisition equipment to achieve real-time data collection, preprocessing, fault feature extraction, identification and classification, positioning and notification, and use support vector machines, decision trees and other algorithms for fault identification and processing.
It achieves rapid and accurate detection of power telecontrol system faults, improves fault detection efficiency and accuracy, enhances the stability and reliability of the power system, has flexibility and scalability, and supports customized optimization.