A frequency and spatial domain decomposition method for operational strain modal analysis and its application

Wang, T.; Celik, Ozan; Çatbaş, F. Necati; Zhang, L.M.

doi:10.1016/j.engstruct.2016.02.011

Cited by 69 publications

(30 citation statements)

References 16 publications

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“…This behavior can also be illustrated by the changes in the damping ratio. With regard to the wind turbines in operational states, the total damping ratio is defined as: ξ total = ξ struct + ξ aero (22) where ξ struct is the structural damping, and ξ aero is the aerodynamic damping. The damping of the wind turbine correlates with the nature of the structural material, which reflects the degree of energy loss [28,29].…”

Section: Resonance Phenomenonmentioning

confidence: 99%

“…This phenomenon occurs due to the mass imbalance of the blades and plays a large role in the operation of wind turbines because it causes heavy vibrations of the wind tower [1,2]. In addition, a strain-based automated operational modal analysis algorithm has not yet been reported, although strain measurements have been successfully used for the experimental modal analysis (EMA) [17][18][19] and OMA of beam and planar structures [20][21][22][23]. Efforts are still needed to develop a strain-based automated operational modal analysis because strain measurement can be used not only for wind load estimation [2] and fatigue evaluation [24,25] but also to extract the modal parameters.…”

Section: Introductionmentioning

confidence: 99%

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Resonance Monitoring of a Horizontal Wind Turbine by Strain-Based Automated Operational Modal Analysis

Tang

Wang

et al. 2020

Energies

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A strain-based automated operational modal analysis algorithm is proposed to track the long-term dynamic behavior of a horizontal wind turbine under operational conditions. This algorithm is firstly validated by a scaled wind turbine model, and then it is applied to the dynamic strain responses recorded from a 5 MW wind turbine system. We observed variations in the fundamental frequency and 1f, 3f excitation frequencies due to the mass imbalance of the blades and aerodynamic excitation by the tower dam or tower wake. Inspection of the Campbell diagram revealed that the adverse resonance phenomenon and Sommerfeld effect causing excessive vibrations of the wind tower.

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Section: Resonance Phenomenonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resonance Monitoring of a Horizontal Wind Turbine by Strain-Based Automated Operational Modal Analysis

Tang

Wang

et al. 2020

Energies

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“…It is noticed that Eq. (8) has the same form with the enhanced PSD proposed in the FSDD technique for the OMA [22]. By inserting Eq.…”

Section: Detailed Esk Descriptionmentioning

confidence: 99%

“…Moreover, due to the application of a PSD enhancement technique, the band-pass filter is not required any more. Starting from the enhanced PSD obtained from the frequency spatial domain decomposition (FSDD) [22,23], the ESK algorithm is derived in detail. Then, a new method named the virtual excitation technique (VET) is presented for the removal of harmonic components even when they are close to the natural frequencies.…”

Section: Introductionmentioning

confidence: 99%

Detection and removal of harmonic components in operational modal analysis

Xia¹,

Wang²,

Zhang³

2017

J. vibroeng.

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Operational modal analysis (OMA) has been utilized to extract structural dynamic characteristics by only using the output responses. In many cases of OMA, the problem of harmonic components, which is caused by periodic excitation components to the structure, may occur, and may lead to erroneous modal identification. In this paper, an optimized harmonic indicator function named the enhanced spectral kurtosis (ESK) is proposed to improve the effectiveness of the harmonic components detection. Moreover, a new algorithm based on virtual excitation assumption is presented to remove the harmonic components in modal parameters estimation. Finally, the quality of the proposed method is compared with that of the conventional method using a numerical simulation and a practical experiment.

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“…This is a very attractive approach when monitoring huge structures because it allows considering the unmeasured environmental excitation as the source to force the system (e.g., [33][34][35][36][37][38][39][40]). This section focuses on the choice of the algorithm used to carry out modal extraction.…”

Section: Identification Of Modal Parametersmentioning

confidence: 99%

The Monitoring of Palazzo Lombardia in Milan

Berardengo

Busca

Grossi

et al. 2017

Shock and Vibration

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This paper discusses the monitoring of Palazzo Lombardia, one of the tallest high-rise buildings in Italy. First, the layout of the monitoring system is addressed for a general description of the sensors used. The paper provides details about how data coming from transducers are used. Special focus is put on the use of signals acquired by means of accelerometers, which are employed for the estimation of modal parameters through operational modal analysis. The procedure used for choosing the modal analysis algorithm and fixing the values of its main parameters is discussed in detail. The modal identification results on the first eight months of monitoring are discussed in the second part of the manuscript, together with a statistical analysis. This allows for a first model of the relationships between eigenfrequencies and environmental variables aiming at a general structural health monitoring procedure based on the evolution of the building's modal parameters.

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A frequency and spatial domain decomposition method for operational strain modal analysis and its application

Cited by 69 publications

References 16 publications

Resonance Monitoring of a Horizontal Wind Turbine by Strain-Based Automated Operational Modal Analysis

Resonance Monitoring of a Horizontal Wind Turbine by Strain-Based Automated Operational Modal Analysis

Detection and removal of harmonic components in operational modal analysis

The Monitoring of Palazzo Lombardia in Milan

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