The reliability of transmission equipment is an important factor affecting the normal operation of overhead transmission lines. Especially in the scenario of transmission tower Internet of Things (IoT), how to evaluate the reliability of transmission equipment based on massive self-sensing real-time data has become the focus of research. This paper starts from the insulator leakage current sensor and tower stress sensor installed on 110-500 kV transmission tower. Based on historical data, MATLAB software is used to study the wavelet analysis model for input signals. Combined with the extreme value risk equation, the probability of transmission equipment failure in the future is analyzed. On this basis, the analytic hierarchy process and the fault probability determination method based on extreme risk are used to determine the reliability of equipment.  The research results are of great significance for the timely evaluation of equipment reliability of transmission towers, thereby reducing the operation and maintenance costs.

reliability analysis,transmission assets,transmission tower IoT,insulator leakage current,tower stress