Abstract
Wind turbine system is a safety-critical system, which
has the demand to improve the operating reliability and reducing the cost caused by the shut-down time and component repairing. As a result, condition monitoring and fault diagnosis have received much attention for wind turbine energy systems. Noticing that environmental disturbances are unavoidable, therefore how to improve the robustness of a fault diagnosis scheme against disturbances/noises has been a key issue in fault
diagnosis community. In this investigation, a robust fault
estimation approach with the aid of eigenstructure assignment and genetic algorithm (GA) optimization is presented so that the estimation error dynamics has a good robustness against disturbances. A simulation study is carried out for a 5MW wind turbine dynamic model, which has demonstrated the effectiveness of the proposed techniques.
Original language | English |
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DOIs | |
Publication status | Published - Jul 2015 |
Event | 13th IEEE Conference on Industrial Informatics (INDIN) - Cambridge Duration: 1 Jul 2015 → … |
Conference
Conference | 13th IEEE Conference on Industrial Informatics (INDIN) |
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Period | 1/07/15 → … |