Abstract: Evolved faults of HV transmission lines often involve multiple operating states and faults development process,which cause difficulties in fault identification decisionmaking of relay protection. In order to accurately identify the evolved fault in HV transmission lines and ensure the action correctness of the relay protection device,this paper proposes an evolved fault recognition method based on CBAM-FCN by combining full Fully Convolution Network with Convolution Block Attention Module. In the paper,CBAM is introduced into the traditional FCN to focus on important features like mutation and amplitude of fault waveforms, and ignore irrelevant interference,which greatly improves the identification accuracy of complex faults. In addition,the proposed method can output one-dimensional series representing the change of the fault state,and realize the whole process identification of evolved faults in transmission lines. Finally, a large number of simulation results have verified the anti-noise and generalization ability of the proposed method,which has also demonstrated its interpretability through visualization technology.