Nowadays, wind energy is one of the most important renewable energy sources for covering the current electrical demand. The sophistication and the complexity of the wind energy systems are constantly growing. Therefore, new maintenance management techniques are required for ensure the efficiency and rentability of these systems. This paper is focused on the extraction of information from the noise generated by wind turbines. The main causes of noise generation by wind turbines are analyzed in this paper. The noise information allows some types of failures to be detected incipiently and, consequently, preventive and corrective maintenance tasks can be improved. In this field, the use of unmanned aerial vehicles (UAV) can be very useful and facilitate the execution of the inspections. This paper presents a collection of methods for detecting failures through the processing of wind turbine noise. In addition, the possibility of employing UAVs for implement those methods is studied.