To ensure safety and reliability in the incorporation of wind generation into the Brazilian energy matrix, agility and precision are of fundamental importance in the process of restoring normality in the event of a fault. Therefore, this article presents the development of a fault detection and classification algorithm and an iterative fault location algorithm for collector networks of onshore wind farms. The methodology employed in the detection and classification algorithm is based on the calculation of the Euclidean distance of samples of the voltage signal, and for the location of faults, a methodology based on apparent impedance is proposed using data from a measurement terminal. Several short circuit tests were carried out considering an onshore wind farm. The observed results show the efficiency of the proposed method in correctly detecting and classifying applied faults. For fault location, the method presented a maximum percentage error of 9.32% for phase-to-earth faults.