TK798 : Sensor fault detection in wind turbine baxsed on unknown input observer
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2020
Authors:
Nader Shahneshin [Author], Mohammad Ali Sadrnia[Supervisor]
Abstarct: The need for sustainable energy development is becoming more and more felt among advanced societies, and the elimination of the need for old energy such as fossil fuels has also shown its importance. Using Renewable energy is a solution for sustainable energy development that can be a very good alternative to high-emission fossil fuels. But the important issue is the cost-effectiveness and costs of developing new energy sources such as wind turbines. To generate electricity from wind energy Power plants from wind turbines have been set up, which has attracted the attention of many private and public sectors. But the issue of maintenance of this equipment is very important that should not be easily overlooked. The sensors used in wind turbines may encounter various defects, but the damage can be prevented by timely detection. One of the most widespread and practical methods in detecting sensor defects is the use of a viewer with an unknown input that attempts to isolate the defect through the residual.
Keywords:
#Fault Detection #Sensor Fault Detection #Wind Turbine Sensor #Observer-baxsed Wind Turbine Sensor Fault Detection #Unknown Input Observer Keeping place: Central Library of Shahrood University
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