Monitoring of Wind Turbine Blades Using Radar Technology: Results from a Field Study at a 2MW Wind Turbine

Moll, Jochen; Mälzer, Moritz; Simon, Jonas; Zadeh, Ashkan Taremi; Krozer, Viktor; Dürr, Manfred; Kramer, Christian; Friedmann, Herbert; Nuber, Andreas; Salman, Rahmi; Pozdniakov, Dimitry

doi:10.12783/shm2019/32416

Cited by 2 publications

(2 citation statements)

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“…Due to the capability of also providing time-Doppler signatures, radars have been investigated for SHM of wind turbines [25][26][27][28][81][82][83][84][85][86][87][88][89][90][91][92][93]. The long-term, long-range, and compactness of low-cost radar sensors make them strong candidates to the remote detection of the blade's motion.…”

Section: Recent Advancements For Shm Based On the Analysis Of Time-doppler Signaturesmentioning

confidence: 99%

A Review on Low-Cost Microwave Doppler Radar Systems for Structural Health Monitoring

Rodrigues

2021

Sensors

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Portable, low-cost, microwave radars have attracted researchers’ attention for being an alternative noncontact solution for structural condition monitoring. In addition, by leveraging their capability of providing the target velocity information, the radar-based remote monitoring of complex rotating structures can also be accomplished. Modern radar systems are compact, able to be easily integrated in sensor networks, and can deliver high accuracy measurements. This paper reviews the recent technical advances in low-cost Doppler radar systems for phase-demodulated displacement measurements and time-Doppler analysis for structural health information, including digital signal processing and emerging applications related to radar sensor networks.

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Section: Recent Advancements For Shm Based On the Analysis Of Time-doppler Signaturesmentioning

confidence: 99%

A Review on Low-Cost Microwave Doppler Radar Systems for Structural Health Monitoring

Rodrigues

2021

Sensors

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“…Therefore, deflection could be estimated with a maximum deviation of

when performing measurements on a test rig. Additionally, Moll et al [ 20 ] used a radar-based system for detecting artificially introduced damage in rotor blades. However, monitoring was restricted to the measurement range of the radar system in front of the turbine tower.…”

Section: Introductionmentioning

confidence: 99%

Moving Accelerometers to the Tip: Monitoring of Wind Turbine Blade Bending Using 3D Accelerometers and Model-Based Bending Shapes

Loss

Bergmann

2020

Sensors

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Increasing the length of wind turbine blades for maximum energy capture leads to larger loads and forces acting on the blades. In particular, alternate bending due to gravity or nonuniform wind profiles leads to increased loads and imminent fatigue. Therefore, blade monitoring in operation is needed to optimise turbine settings and, consequently, to reduce alternate bending. In our approach, an acceleration model was used to analyse periodically occurring deviations from uniform bending. By using hierarchical clustering, significant bending patterns could be extracted and patterns were analysed with regard to reference data. In a simulation of alternate bending effects, various effects were successfully represented by different bending patterns. A real data experiment with accelerometers mounted at the blade tip of turbine blades demonstrated a clear relation between the rotation frequency and the resulting bending patterns. Additionally, the markedness of bending shapes could be used to assess the amount of alternate bending of the blade in both simulations and experiment.s The results demonstrate that model-based bending shapes provide a strong indication for alternate bending and, consequently, can be used to optimise turbine settings.

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Monitoring of Wind Turbine Blades Using Radar Technology: Results from a Field Study at a 2MW Wind Turbine

Cited by 2 publications

References 0 publications

A Review on Low-Cost Microwave Doppler Radar Systems for Structural Health Monitoring

A Review on Low-Cost Microwave Doppler Radar Systems for Structural Health Monitoring

Moving Accelerometers to the Tip: Monitoring of Wind Turbine Blade Bending Using 3D Accelerometers and Model-Based Bending Shapes

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