| The transmission tower is an important part of the power system, such as supporting role, ground wire and other accessories in the overhead transmission line. Accompanied by long-term load, some minor damages and defects of the transmission tower structure will gradually become more serious damages and defects. Therefore, the structural health status of the transmission tower will directly affect whether the power system can run normally. Research on damage identification of transmission tower can improve the safety and reliability of electric power, to avoid the occurrence of major accidents. Along with Chinese comprehensive national strength, accurately using structural health monitoring system to search and identify these damages and defects repair in many civil engineering has been achieved. This paper draw lessons from the field of civil engineering structural health monitoring damage identification technology, through modifying for transmission tower structure damage analysis.In view of this situation, and based on the actual application of the structural health monitoring system in the field of bridge and the existing research. In this paper, the system is applied to the damage analysis and location of transmission tower structure through the excellent pattern recognition ability in neural network. In this paper, the structural information of transmission tower is analyzed by using neural network. The damage location and damage degree are the output of the neural network, the load parameters are used as the input of neural network. The ANSYS finite element analysis software is adopted for the transmission tower’s modeling and analysis. Then, the neural network algorithm is used to train the sample data to realize the identification of transmission tower structure parameters. Finally, the correctness and practicability of the neural network damage identification method are verified by simulation analysis of the actual transmission tower. Moreover, the structural health monitoring method has a certain reference function in other fields. |