Monitoring system of wind turbine rotor blades

B. Frankenstein; L. Schubert; N. Meyendorf; H. Friedmann; C. Ebert

doi:10.1117/12.815464

7 April 2009 Monitoring system of wind turbine rotor blades

B. Frankenstein, L. Schubert, N. Meyendorf, H. Friedmann, C. Ebert

Proceedings Volume 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009; 72930X (2009) https://doi.org/10.1117/12.815464
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

Conventionally, modal monitoring of Wind Turbine Rotor Blades is primarily based on the evaluation of eigenfrequencies. Beyond this, combining a sensor network with the Operational Modal Analysis (OMA) method, mode shape and parallely a local component are utilized here. In addition it is expected that the damping, which is also determined by the OMA method, will give a lead on damage development at the rotor already at an early stage. Modal monitoring by means of measurement is combined with FEM simulation and with the comparison of results obtained from measurement and simulation. Moreover, this will establish a connection between the engineer and the design data of a rotor blade, which also are based on FEM analyzes. A further significant increase regarding error resolution is possible by combining the global modal methods with locally sensitive monitoring methods, based on guided elastic waves. These assume plate-like structures through which elastic waves propagate in the low-frequency ultrasonic range (10 - 100 kHz) in certain modes. These different wave modes interact distinctively with inner structural damages such as web fractures and delaminations. It is differentiated between piezoelectrically excited waves (acousto ultrasonics), and waves produced by energy released at fractures, delamination etc. (acoustic emission). Applying a moderate number of sensors, the combination of both methods can allow an effective monitoring of the global structure.

Citation Download Citation

B. Frankenstein, L. Schubert, N. Meyendorf, H. Friedmann, and C. Ebert "Monitoring system of wind turbine rotor blades", Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 72930X (7 April 2009); https://doi.org/10.1117/12.815464

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