A review of deep learning application in transmission line defect detection

• The commonly used transmission line defect detection algorithms are summarized. • The optimization of current transmission line defect detection algorithms is reviewed. • The development of transmission line defect detection algorithms is analyzed. Transmission lines represent a significant component of the power industry. Nevertheless, in practical operations, transmission lines are susceptible to faults and defects due to natural factors and external damage. Therefore, it is of great importance to detect such defects in a timely and accurate manner. As the field of detection methods and technologies continues to evolve, those based on deep learning have emerged as a key area of interest in the field of transmission line defect detection. Firstly, this paper gives a brief overview of transmission line inspection methods and the defect detection methods based on traditional image processing algorithms. And then it mainly reviews the development of object detection algorithms based on deep learning and the application in transmission line defect detection. Finally, it summarizes the current improvement state of transmission line defect detection based on deep learning, along with a discussion of future prospects.