Vibration-based Fault Detection and Condition Monitoring of Mechanical Systems in Wind Turbines
MetadataShow full item record
- Institutt for marin teknikk 
An increased energy demand of the future, combined with problems related to climatechange and emissions of greenhouse gases, has made solutions for reliable and efficientrenewable energy producers attractive. Wind turbines producing electrical energy fromwind power, are believed to have a large potential in the following years. To realizethis potential, the success of commercial wind turbines have is dependent on effectivecondition monitoring systems.Condition monitoring of wind turbines involve monitoring the health of the mechanicaldrive train, which have several components that are prone to errors. Most errors canbe detected in advance of a complete failure by the use vibration-based techniques.This thesis look into a little discussed phenomenon called structural resonance, thathas been introduced by industrial partner Vibsim AS. As Vibsim AS believes that thereis not much knowledge about this phenomenon, the thesis will look into how the use ofvibration-based condition monitoring techniques are capable of, and how appropriatethey are, in detecting and diagnosing the presence of structural resonance.The analysis first examines the data samples in order verify whether or not there actuallyis a structural resonance phenomenon present in the measurements, and how theyappear when visualizing the data. This is done to familiarize how the phenomenonlooks like. Then an assessment of the severity of the phenomenon is performed bycomparing it to a guiding standard. The comparison shows that, according to this standard,the wind turbine is in good operating condition. Further evaluation by frequencyanalysis is performed and checked for irregularities.The different approaches of vibration-based methods on the data samples leaves toquestion the capabilities of the methods as to detect structural resonance. Further workshould consider to emphasize on other methods to detect and diagnosis structural resonance.