JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (4): 96-102.doi: 10.6040/j.issn.1672-3961.0.2016.394

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Online modal parameter identification and fault diagnosis of wind turbines based on order analysis

LI Jingli1, WANG Qian1, ZHANG Jun2, LI Leilei1   

  1. 1. Gansu Xinquan Wind Power Company Limited, Lanzhou 730070, Gansu, China;
    2. State Grid Jiangsu Economic Research Institute, Nanjing 210008, Jiangsu, China
  • Received:2016-10-26 Online:2017-08-20 Published:2016-10-26

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Abstract: 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.

Key words: online modal parameter identification, wind turbines, computed order analysis, fault diagnosis

CLC Number: 

  • TM315
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