A High-Speed Maglev Traction Power Supply System Fault Diagnosis Method Based on Similarity Recognition
摘要
High-speed maglev system is an important part of transportation system. It is necessary to monitor the equipment safety status of the ground traction power supply system to ensure the system operation reliability. This paper proposes a method based on similarity recognition to identify operation signal fault characteristics. Meanwhile, the similarity result is verified by referring to the time-frequency matrix of DWT wavelet coefficients. It provides a strong support for the subsequent fault interpretation of the comprehensive relay protect system.