Detection of Faults in High Voltage Power Transmission Lines Using Unmanned Aerial Vehicle with Artificial Intelligence Methods

With the rapid development of artificial intelligence technologies, the areas of use of artificial intelligence are increasing day by day. Artificial intelligence is frequently used in many fields such as agriculture, security systems and health. One of the important areas of use of artificial intelligence is the field of engineering. Especially deformations in high voltage lines, which are one of the important components of electrical engineering, cause major problems in the transmission of electrical energy. A number of important factors such as regular maintenance of energy cash lines, energy security, uninterrupted energy flow, safety, efficiency, environmental protection and cost effectiveness are important parameters in electricity transmission lines. The maintenance of energy cash lines ensures that the energy flow, which forms the basis of modern life, continues uninterruptedly and safely. Paying due attention to the maintenance of energy cash lines that meet the needs of society is a critical step in building a sustainable future. For this reason, with the study to be carried out, a hybrid data set will be created with a specific data set to be created by an unmanned aerial vehicle and a hybrid data set to be obtained from online websites. With the created dataset, images will be trained with at least three different deep learning models. Training on deep learning models will be continued until the desired results are obtained. The results obtained from the deep learning models will be used in different performance evaluations.