< Terug naar vorige pagina
Publicatie
Long term operational modal analysis for rotating machines
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
Wind energy is one of the most promising renewable energy available today. The continuous demand of wind energy production led the interest of the wind industry towards
bigger turbines. This upscaling trend has imposed bigger (not quasi-static) loads that are significantly influencing the fatigue life of the wind turbine components and the tonalities generated by the drive train. To tackle noise and vibration problems and validate complex models it is of high interest to continuously track the modal parameters of the machines under different operating conditions. This allows a better design of the new prototypes and the reduction of the risk of premature component failures, followed by a possible decrease of the cost of the energy. To do so Operational Modal Analysis represents a powerful tool. One limitation affecting this methodology when applied to rotating machines comes from the presence of harmonics. Their predominance in the spectrum masks the modal content in the signal, making the extraction of the modal parameters impossible. The objective of this research is then to achieve a combination of automatic methodologies for dealing with the harmonics and automatic OMA techniques in order to be able to autonomously process a continuous stream of data.
bigger turbines. This upscaling trend has imposed bigger (not quasi-static) loads that are significantly influencing the fatigue life of the wind turbine components and the tonalities generated by the drive train. To tackle noise and vibration problems and validate complex models it is of high interest to continuously track the modal parameters of the machines under different operating conditions. This allows a better design of the new prototypes and the reduction of the risk of premature component failures, followed by a possible decrease of the cost of the energy. To do so Operational Modal Analysis represents a powerful tool. One limitation affecting this methodology when applied to rotating machines comes from the presence of harmonics. Their predominance in the spectrum masks the modal content in the signal, making the extraction of the modal parameters impossible. The objective of this research is then to achieve a combination of automatic methodologies for dealing with the harmonics and automatic OMA techniques in order to be able to autonomously process a continuous stream of data.
Boek: The Science of Making Torque from Wind. 3 ed. IOP Publishing
Edition: 5
Series: Journal of Physics: Conference Series
Volume: 1037
Pagina's: 103-112
Aantal pagina's: 10
Jaar van publicatie:2018
Auteurs:International
Toegankelijkheid:Closed