The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Kaoshan Dai - One of the best experts on this subject based on the ideXlab platform.
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development of a modified stochastic subspace Identification Method for rapid structural assessment of in service utility scale wind turbine towers
Wind Energy, 2017Co-Authors: Kaoshan Dai, Ying Wang, Yichao Huang, W D ZhuAbstract:The strong drive to harness wind energy has recently led to rapid growth of wind farm construction. Wind turbine towers with increased sizes and flexibility experience large vibrations. Structural health monitoring of wind turbines is proposed in the wind energy industry to ensure their proper performance and save maintenance costs. This study proposes a system Identification Method for vibration-based structural assessment of wind turbine towers. This Method developed based on the stochastic subspace Identification Method can identify modal parameters of structures in operating conditions with harmonic components in excitations. It benefits wind turbine tower structural health assessment because classical operational modal analysis Methods can fail as periodic rotation excitation from a turbine introduces harmonic disturbance to tower structure response data. The effectiveness, accuracy and robustness of the proposed Method were numerically investigated and verified through a lumped-mass system model. The Method was then applied to an in-service utility-scale wind turbine tower. The field testing campaign and modal parameter Identification as well as structural assessment results were presented. Copyright © 2017 John Wiley & Sons, Ltd.
Antonio Rodriguezferran - One of the best experts on this subject based on the ideXlab platform.
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a subsystem Identification Method based on the path concept with coupling strength estimation
Mechanical Systems and Signal Processing, 2018Co-Authors: Francesc Xavier Magrans, Jordi Pobletpuig, Antonio RodriguezferranAbstract:Abstract For complex geometries, the definition of the subsystems is not a straightforward task. We present here a subsystem Identification Method based on the direct transfer matrix, which represents the first-order paths. The key ingredient is a cluster analysis of the rows of the powers of the transfer matrix. These powers represent high-order paths in the system and are more affected than low-order paths by damping. Once subsystems are identified, the proposed approach also provides a quantification of the degree of coupling between subsystems. This information is relevant to decide whether a subsystem may be analysed in a computer model or measured in the laboratory independently of the rest or subsystems or not. The two features (subsystem Identification and quantification of the degree of coupling) are illustrated by means of numerical examples: plates coupled by means of springs and rooms connected by means of a cavity.
W D Zhu - One of the best experts on this subject based on the ideXlab platform.
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development of a modified stochastic subspace Identification Method for rapid structural assessment of in service utility scale wind turbine towers
Wind Energy, 2017Co-Authors: Kaoshan Dai, Ying Wang, Yichao Huang, W D ZhuAbstract:The strong drive to harness wind energy has recently led to rapid growth of wind farm construction. Wind turbine towers with increased sizes and flexibility experience large vibrations. Structural health monitoring of wind turbines is proposed in the wind energy industry to ensure their proper performance and save maintenance costs. This study proposes a system Identification Method for vibration-based structural assessment of wind turbine towers. This Method developed based on the stochastic subspace Identification Method can identify modal parameters of structures in operating conditions with harmonic components in excitations. It benefits wind turbine tower structural health assessment because classical operational modal analysis Methods can fail as periodic rotation excitation from a turbine introduces harmonic disturbance to tower structure response data. The effectiveness, accuracy and robustness of the proposed Method were numerically investigated and verified through a lumped-mass system model. The Method was then applied to an in-service utility-scale wind turbine tower. The field testing campaign and modal parameter Identification as well as structural assessment results were presented. Copyright © 2017 John Wiley & Sons, Ltd.
Zhe Chen - One of the best experts on this subject based on the ideXlab platform.
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a robust circuit and controller parameters Identification Method of grid connected voltage source converters using vector fitting algorithm
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021Co-Authors: Weihua Zhou, Raymundo E Torresolguin, Fredrik Gothner, Jef Beerten, Mehdi Karbalaye Zadeh, Yanbo Wang, Zhe ChenAbstract:This article presents a vector fitting (VF) algorithm-based robust circuit and controller parameters Identification Method for grid-connected voltage source converters (VSCs). The dq-domain impedance frequency responses (IFRs) of the VSCs are first measured using frequency scanning Method, based on which the corresponding measured phasor-domain IFRs are calculated. Then, polynomial transfer functions are generated by applying the VF algorithm on the measured phasor-domain IFRs, from which the circuit and controller parameters, i.e., LCL filter parameters, digital sampling time, current controller parameters, and phase-locked loop parameters, are identified. Influence of measurement noise on parameters Identification accuracy and corresponding countermeasure to mitigate the adverse influence are also theoretically investigated. The proposed Method is able to identify the circuit and controller parameters, when detailed parameters are missing due to industrial secrecy or parameters variation caused by operating condition change, temperature fluctuation, or aging. Effectiveness of the proposed circuit and controller parameters Identification Method is validated by theoretical demonstration, OPAL-RT-based real-time simulation, and experimental validation.
Francesc Xavier Magrans - One of the best experts on this subject based on the ideXlab platform.
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a subsystem Identification Method based on the path concept with coupling strength estimation
Mechanical Systems and Signal Processing, 2018Co-Authors: Francesc Xavier Magrans, Jordi Pobletpuig, Antonio RodriguezferranAbstract:Abstract For complex geometries, the definition of the subsystems is not a straightforward task. We present here a subsystem Identification Method based on the direct transfer matrix, which represents the first-order paths. The key ingredient is a cluster analysis of the rows of the powers of the transfer matrix. These powers represent high-order paths in the system and are more affected than low-order paths by damping. Once subsystems are identified, the proposed approach also provides a quantification of the degree of coupling between subsystems. This information is relevant to decide whether a subsystem may be analysed in a computer model or measured in the laboratory independently of the rest or subsystems or not. The two features (subsystem Identification and quantification of the degree of coupling) are illustrated by means of numerical examples: plates coupled by means of springs and rooms connected by means of a cavity.