Decision Tree Approach for Fault Type Identification of Transmission Line

In order to solve the limitation of artificial identification of fault causes and insufficient application of artificial intelligence due to fewer data samples in transmission line faults, a decision tree-based model and method for fault cause identification of transmission lines are studied. Expert support and manual intervention are introduced to verify and confirm the diagnosis conclusions on the basis of automatic diagnosis. It is recognized that the automation of line fault diagnosis and the visualization of the whole process of fault diagnosis can be realized, thus reducing the workload of operation and maintenance staff. Based on the defect data of power company operation and maintenance, the validity and validity of the method are analyzed and verified, which can provide theoretical basis for equipment operation and maintenance decision. (paper)