Intelligent observer for fault detection and data recovery for small wind turbine
Year: 2025
Type: article
Abstract: In this work, an intelligent observer is developed and implemented for fault detection and information retrieval in a small wind turbine. The intelligent observer will allow the detection of faults in the turbine’s energy generation, thanks to the estimation of the active power generated. This estimate will be compared with the real active power, measured by a real sensor, so that, if there is not a very high deviation between both values, the sensor measurement will be considered valid. However, when the difference between the estimated value and the real value exceeds a threshold, the sensor measurement will be replaced with the estimate. This threshold will be determined based on the operating point. The results obtained are satisfactory, with a correct estimation and detection of anomalies.
Source: Logic Journal of IGPL
Institution: Universidade da Coruña
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,533
OpenAlex ID: W7126070734