Analysis of Icing on Wind Turbines by Combined Wireless and Wired Acceleration Sensor Monitoring

Author:

Wondra B.,Rupfle J.,Emiroglu A.,Grosse C. U.

Publisher

Springer International Publishing

Reference19 articles.

1. Homola, M.C., Virk, M.S., Nicklasson, P.J., Sundsbø, P.A.: Performance losses due to ice accretion for a 5 MW wind turbine. Wind Energy 15(3), 379–389 (2012)

2. Schmid, M.: Untersuchungen zur Industriellen Faseroptischen Blattlastmessung an Windenergieanlagen. Dissertation, Technische Universität München (2018)

3. Weijtjens, W., Avendaño-Valencia, L.D., Devriendt, C., Chatzi. E.: Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower. In: 9th European Workshop on Structural Health Monitoring, EWSHM 2018. Manchester, UK (2018)

4. Gantasala, S., Luneno, J.-C., Aidanpää, J.-O.: Investigating how an artificial neural network model can be used to detect added mass on a non-rotating beam using its natural frequencies: a possible application for wind turbine blade ice detection. Energies 10(2), 184 (2017)

5. Cacciola, S., Agud, I.M., Bottasso, C.L.: Detection of rotor imbalance, including root cause, severity and location. J. Phys. Conf. Ser. 753, 072003 (2016)

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