Research on Recognizing Power Cable Fault Based on the ACCLN

Power cable problem under the normal operating condition is very important in electric power systems. In practical operation, Various cable faults will happen. Recognizing the cable faults correctly and timely is very crucial. A method is proposed that an annealed chaotic competitive learning network (ACCLN) recognizes power cable types in this paper. The result shows a better performance than SVM and IPSO-SVM method. The result shows that the fault recognition accuracy reached 96.2% by 54 data test sample data. The network training time is about 0.032 second. The proposed method is applied for the cable fault classification effectively.