Short-Range Doppler-Radar Signatures from Industrial Wind Turbines: Theory, Simulations, and Measurements

Muñoz‐Ferreras, José‐María; Peng, Zhengyu; Tang, Yao; Gómez‐García, Roberto; Liang, Daan; Li, Changzhi

doi:10.1109/tim.2016.2573058

Cited by 40 publications

(32 citation statements)

References 40 publications

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“…A microwave interferometric technique at 24 GHz is used in Wetzel et al for volumetric inspection of wind turbine blades. A real‐time millimeter wave imaging system for NDT applications at 30 GHz is proposed in Ghasr et al Moreover, Doppler radar systems for monitoring mechanical vibrations of wind turbine structures are presented in Munoz‐Ferreras et al …”

Section: Introductionmentioning

confidence: 99%

“…A microwave interferometric technique at 24 GHz is used in Wetzel et al 8 for volumetric inspection of wind turbine blades. A real-time millimeter wave imaging system for NDT applications at 30 GHz is proposed in Ghasr et al 9 Moreover, Doppler radar systems for monitoring mechanical vibrations of wind turbine structures are presented in Munoz-Ferreras et al 10 Previous works by the authors showed the damage detection capability of radar systems in the millimeter-wave frequency band. 11 The radar sensor is permanently installed at the tower of the wind energy plant and radiates electromagnetic waves towards the rotor blades.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Radar‐based structural health monitoring of wind turbine blades: The case of damage localization

et al. 2018

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This short communication reports on a radar approach for structural health monitoring of wind turbine blades. Therefore, a bistatic frequency‐modulated continuous wave (FMCW) radar in the frequency range from 33.4 to 36.0 GHz has been developed and tested experimentally using a laboratory wind turbine demonstrator. A differential damage localization framework is presented here that exploits signal differences between measurements from the intact and the damaged structure for 3D imaging of the defect. We have achieved the localization of a 30‐mm cut in a glass fiber composite structure as well as the localization of a water pack at the backside of the specimen with a localization error of several centimeters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radar‐based structural health monitoring of wind turbine blades: The case of damage localization

et al. 2018

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“…In [37] measurements at short-range of operational wind turbines collected by C-band and K-band radar prototypes were presented, showing good agreement with a proposed numerical model and aiming to use the generated results for monitoring the behaviour of the turbines.…”

Section: Introductionmentioning

confidence: 86%

“…In [36], the authors presented preliminary results related to wind farm backscattering collected by a polarimetric radar system operating at S‐band. In [37], measurements at short range of operational wind turbines collected by C‐ and K‐band radar prototypes were presented, showing good agreement with a proposed numerical model and aiming to use the generated results for monitoring the behaviour of the turbines.…”

Section: Introductionmentioning

confidence: 99%

Practical investigation of multiband mono‐ and bistatic radar signatures of wind turbines

Fioranelli¹,

Ritchie

Balleri

et al. 2017

IET Radar, Sonar & Navigation

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The negative effects wind farm clutter has on the performance of radar systems for Air Traffic Control and Air Surveillance is well-known in the radar research community and several mitigation techniques have been proposed to address this problem. These include bistatic and multistatic radar systems providing multiple views of the area under surveillance, and hence potential additional information that can be used to improve the receiver performance. This paper presents the analysis of a set of experimental data collected simultaneously by two radar systems, one operating at S-band and one at Xband, of echoes from an operational wind farm in the UK near Oxford. This analysis presents several parameters extracted from the time domain data and the Doppler spectra, such as Doppler centroid and bandwidth of the micro-Doppler signature as well as amplitude statistics of the time domain returns.These parameters are characterised using data recorded at monostatic and bistatic nodes, as well as at different polarisation combinations.

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“…A non-line of sight (NLOS), non-contact method was desired, and radar was identified as a suitable technology for this purpose. Doppler radar methods have been shown to be suitable in the monitoring of wind turbine structures [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of a Radar-Based Structural Health Monitoring System

Amies

Pretty

Rodgers

et al. 2019

IEEE/ASME Trans. Mechatron.

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This paper presents a new structural health monitoring (SHM) method using frequency-modulated continuous wave (FMCW) radar. The method was developed to circumvent issues with SHM methods' need for displacement measurements, which can be difficult to obtain robustly through integrated accelerations, or through other displacement measurement methods. Instead, interstorey drift ratios were estimated through the direct measurement of interstorey displacement using FMCW radar. Simulation of this method using historical structural response data verified suitably accurate displacement measurements could be obtained using FMCW radar, and prompted the construction of a prototype system. Experimental validation of this prototype was carried out on a shake table. The precision of the system in terms of mean interstorey drift ratio was found to be 1.09 × 10 −3. These results are encouraging for the future deployment of this SHM approach.

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Short-Range Doppler-Radar Signatures from Industrial Wind Turbines: Theory, Simulations, and Measurements

Cited by 40 publications

References 40 publications

Radar‐based structural health monitoring of wind turbine blades: The case of damage localization

Radar‐based structural health monitoring of wind turbine blades: The case of damage localization

Practical investigation of multiband mono‐ and bistatic radar signatures of wind turbines

Experimental Validation of a Radar-Based Structural Health Monitoring System

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