Field Testing of Wind Turbine Towers with Contact and Noncontact Vibration Measurement Methods

Wang, Ying; Dai, Kaoshan; Xu, Yongfeng; Zhu, Weidong; Liu, Wensheng; Shi, Yuanfeng; Mei, Zhu; Xue, Songtao; Faulkner, Karen

doi:10.1061/(asce)cf.1943-5509.0001366

Cited by 17 publications

(3 citation statements)

References 19 publications

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“…Considering the limitations of the single physical quantity displacement reconstruction method, researchers have further proposed a displacement reconstruction method based on multi-source data [24][25][26][27]. Wang et al [28] accurately reconstructed the vibration response of two 65 m wind turbine towers using Kalman filtering techniques to process the displacement and velocity responses. Park et al [29] successfully estimated the dynamic deflection of the Sorok bridge by integrating strain and acceleration information.…”

Section: Introductionmentioning

confidence: 99%

Deformation Monitoring of Monopole Communication Towers Based on Multi-Source Data Fusion

Ji,

Ren,

et al. 2023

Buildings

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Monopole communication towers play an irreplaceable role in modern communication systems. Because of its high flexibility, lateral loads control the deformation of a monopole communication tower. Dynamic displacement can be used to describe structural vibration characteristics and real-time deformation situations. Therefore, this article proposes a monopole communication tower deformation monitoring method based on multi-source data fusion using dynamic displacement as the evaluation indicator. This method calculates the strain displacement using the strain-mode superposition methodology. Then, the strain displacement and acceleration obtained are processed using Kalman filtering technology to reconstruct the real-time displacements of the monopole communication tower. The effectiveness of this method was verified using numerical simulations and model experiments, respectively. In addition, parametric analysis shows that this method is suitable for processing multi-rate data, has good noise resistance in strong noise environments, and can effectively reconstruct the displacement near the tower bottom. The results indicate that the method has favorable robustness and can accurately reconstruct low-frequency and high-frequency displacements of the monopole communication tower.

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Section: Introductionmentioning

confidence: 99%

Deformation Monitoring of Monopole Communication Towers Based on Multi-Source Data Fusion

Ji,

Ren,

et al. 2023

Buildings

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“…To summarize, contact health monitoring sensors or non-contact sensors are primarily used in the existing literature about SHM theories and methods to identify static or dynamic characteristic parameters of structures; and, in combination with finite element analysis (FEA) and experimental analysis, structural damage identification and working status estimation are performed based on measured responses of the structure, so as to reveal whole-process static/dynamic behavior, mechanisms and evolutionary rules of the structure under actions of complex loads and environmental coupling. Thanks to definite physical meanings, these approaches have been employed in practical projects [18][19][20][21][22][23][24][25][26][27][28][29]. However, they remain very vulnerable to limitations of corresponding technical conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding structural geometric deformation monitoring, it is both a key component of health monitoring in the field of bridge engineering [20][21][22][23][24][25][26][27][28][29] and a critical index of structural behavior evaluation for bridges. To a certain extent, anomalous changes in structural geometry give embodiments to present safety status of bridges in a real sense; and, different degrees of structural damages or defects in long-term service time are also embodied in such anomalous changes.…”

Section: Introductionmentioning

confidence: 99%

Experiment of Structural Geometric Morphology Monitoring for Bridges Using Holographic Visual Sensor

Shao

Zhou

Deng

et al. 2020

Sensors

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To further improve the precision and efficiency of structural health monitoring technology and the theory of large-scale structures, full-field non-contact structural geometry morphology monitoring is expected to be a breakthrough technology in structural safety state monitoring and digital twins, owing to its economic, credible, high frequency, and holographic advantages. This study validates a proposed holographic visual sensor and algorithms in a computer-vision-based full-field non-contact displacement and vibration measurement. Using an automatic camera patrol experimental device, original segmental dynamic and static video monitoring data of a model bridge under various damage/activities were collected. According to the temporal and spatial characteristics of the series data, the holographic geometric morphology tracking algorithm was introduced. Additionally, the feature points set of the structural holography geometry and the holography feature contours were established. Experimental results show that the holographic visual sensor and the proposed algorithms can extract an accurate holographic full-field displacement signal, and factually and sensitively accomplish vibration measurement, while accurately reflecting the real change in structural properties under various damage/action conditions. The proposed method can serve as a foundation for further research on digital twins for large-scale structures, structural condition assessment, and intelligent damage identification.

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Wind turbine supporting tower structural health monitoring and vibration control

Dai,

Wang,

Huang

2023

Wind Energy Engineering

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Field Testing of Wind Turbine Towers with Contact and Noncontact Vibration Measurement Methods

Cited by 17 publications

References 19 publications

Deformation Monitoring of Monopole Communication Towers Based on Multi-Source Data Fusion

Deformation Monitoring of Monopole Communication Towers Based on Multi-Source Data Fusion

Experiment of Structural Geometric Morphology Monitoring for Bridges Using Holographic Visual Sensor

Wind turbine supporting tower structural health monitoring and vibration control

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