Resumen: Operation and maintenance is one of the main cost drivers of modern wind farms and has become an emerging field of research over the past years. Understanding the failure behaviour of wind turbines (WTs) can significantly enhance operation and maintenance processes and is essential for developing reliability and strategic maintenance models. Previous research has shown that especially the environmental conditions, to which the turbines are exposed to, affect their reliability drastically. This paper compares several advanced modelling techniques and proposes a novel approach to model WT system and component failures based on the site-specific weather conditions. Furthermore, to avoid common problems in failure modelling, procedures for variable selection and complexity reduction are discussed and incorporated. This is applied to a big failure database comprised of 11 wind farms and 383 turbines. The results show that the model performs very well in several situations such as modelling general WT failures as well as failures of specific components. The latter is exemplified using gearbox failures. Idioma: Inglés DOI: 10.1002/we.2201 Año: 2018 Publicado en: WIND ENERGY 21, 10 (2018), 876-891 ISSN: 1095-4244 Factor impacto JCR: 3.125 (2018) Categ. JCR: ENGINEERING, MECHANICAL rank: 26 / 129 = 0.202 (2018) - Q1 - T1 Categ. JCR: ENERGY & FUELS rank: 50 / 103 = 0.485 (2018) - Q2 - T2 Factor impacto SCIMAGO: 1.047 - Renewable Energy, Sustainability and the Environment (Q2)