Torsion vibrations monitoring of turbine shafts

Neural Network Autoregressive Modeling of Vibrations for Condition Monitoring of Rotating Shafts

Artiicial neural networks provide a means of capturing stationary statistical information about machine vibrations in the form of non-linear autoregressive models. These models can be used as one step ahead pre-dictors allowing comparison of signals for the purposes of fault detection and diagnosis. From the prediction error, features can be extracted and used to determine the machine's conditi...

Bond Strength in Thermally Sprayed Gas Turbine Shafts

In this paper, the bond strength of thermal spray coatings in high speed shafts has been studied. The metallurgical and mechanical studies has been made on the coated samples and shaft using optical microscopy, scanning electron microscopy (SEM). Keywords—Thermal spray, Residual stress, Wear mechanism, HVOF, Gas compressor shafts

On Cracks and Dislocations in Shafts under Torsion*

Suppression of the vibrations of wind turbine towers

We investigate the suppression of the vibrations of a wind turbine tower using colocated feedback to achieve strong stability. We decompose the system into one model describing the vibrations in the plane of the turbine axis and another model in the plane of the turbine blades. In the plane of the turbine axis, we obtain a non-uniform Spacecraft Control Laboratory Experiment (SCOLE) model with ...

Analysis of Wind Turbine Vibrations Based on SCADA Data

Vibrations of a wind turbine have a negative impact on its performance. Mitigating this undesirable impact requires knowledge of the relationship between the vibrations and other wind turbine parameters that could be potentially modified. Three approaches for ranking the impact importance of measurable turbine parameters on the vibrations of the drive train and the tower are discussed. They inc...