%A LI Jingli, WANG Qian, ZHANG Jun, LI Leilei %T Online modal parameter identification and fault diagnosis of wind turbines based on order analysis %0 Journal Article %D 2017 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.0.2016.394 %P 96-102 %V 47 %N 4 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_1624.shtml} %8 2017-08-20 %X According to the health monitoring and early warning evaluation of wind turbines, the modal parameter identification based on the ambient load excitation and the computed order analysis methods were applied in the online modal analysis of wind turbine gearbox system. An online modal parameter identification and fault diagnosis system for wind turbines was designed and developed. Comparison of test results between experimental modal and online modal parameter identification, and online modal identification parameters due to the different ambient load excitation condition, showed that methods for online modal parameter identification were feasible, real-time, stable and reliable. By now, a large amount of data for online modal measurement, dynamic characteristics due to varied ambient load excitation and fault diagnosis of wind turbines has been provided.