Continuous dynamic monitoring of an onshore wind turbine

Oliveira, Gustavo; Magalhães, Filipe; Cunha, Álvaro

doi:10.1016/j.engstruct.2018.02.030

Cited by 64 publications

(33 citation statements)

References 17 publications

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“…In between these regions, four regions define, in a simplified manner, the different conditions of the control mechanisms of the wind turbine under power production. A more detailed description of these regions can be found in Oliveira et al…”

Section: Wind Turbine and Monitoring Systemmentioning

confidence: 99%

“…The first steps of the monitoring strategy, including the preprocessing steps and the automated modal analysis, are fully described in Oliveira et al The present paper is focused on the last two steps of the monitoring strategy: Tasks 3 and 4. In that sense, the results obtained with the p‐LSCF algorithm are used because they proved to deliver best results for the data collected during the studied period …”

Section: Wind Turbine and Monitoring Systemmentioning

confidence: 99%

“…The continuous identification of the modal parameters of the wind turbine is performed through an automated procedure included in the vibration‐based monitoring system. A thorough description of the procedure and the main results are presented in Oliveira et al During the monitoring period of 1 year, nine vibration modes were continuously tracked over different operating conditions. Figure shows the experimentally identified mode shapes of these modes.…”

Section: Modal Identificationmentioning

confidence: 99%

“…Summarily, the implemented vibration‐based monitoring strategy is composed by four phases: (1) pre‐processing; (2) automated modal identification; (3) removal of the influence of the operational and environmental effects on the modal properties of the wind turbine; and (4) statistical analysis of the results to assess the existence of damage. The contribution of the paper is related to the last two steps, following the developments introduced in Oliveira et al…”

Section: Introductionmentioning

confidence: 99%

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Vibration-based damage detection in a wind turbine using 1 year of data

Oliveira

Magalhães

Cunha

et al. 2018

Struct Control Health Monit

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Summary In the current state of development, it is very hard to remotely evaluate the actual condition of wind turbines structures. This makes it impossible for a wind farm owner to correctly deliberate about the need of retrofitting the current wind turbine structure, as well as to decide about the possible extension of its operating lifetime. Taking into account this problem, this paper introduces the main aspects in the development of a vibration‐based monitoring system for an onshore 2.0‐MW wind turbine based on the identification of the modal properties of the most important vibration modes. Initially, the wind turbine is introduced, as well as the implemented monitoring system. Then, the main steps of the monitoring system are briefly described. A detailed attention is given to the statistical procedure based on regression models used to minimize the influence of operational and environmental effects over the features used to detect structural changes in the wind turbine. Lastly, the suitability of the system to detect damages is thus assessed, through the analysis of three common damage scenarios: onshore foundation damage; damage by scour on an offshore foundation; and blade damage. It is concluded that the system is capable of detecting damage in onshore and offshore foundations, as well as in rotor blades. The most important contribution of the paper is the definition of monitoring framework for damage detection, its implementation, and validation with monitoring data collected during more than 1 year in a utility‐scale wind turbine.

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Section: Wind Turbine and Monitoring Systemmentioning

confidence: 99%

Section: Wind Turbine and Monitoring Systemmentioning

confidence: 99%

Section: Modal Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Vibration-based damage detection in a wind turbine using 1 year of data

Oliveira

Magalhães

Cunha

et al. 2018

Struct Control Health Monit

Self Cite

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“…Hu et al presented frequencies estimated from the vibration data acquired from a 5 MW wind turbine over two years and reported the resonance phenomenon due to the 3f excitation frequency matching the structure's fundamental frequency, as well as the environmental effects on the modal parameters under operational conditions [13]. Oliveira et al reported the long-term behavior of a wind turbine by analyzing the variation of the frequency values estimated by both the p-LSCF and SSI-COV methods based on the monitoring data recorded over one year [14]. Dong and Lian et al [15] and Zhao and Wang et al [16] also applied OMA algorithms to different wind turbines in order to analyze their structural behavior under operational conditions.…”

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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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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Monitoring of the hydraulic units operation of the Sayano‐Shushenskaya hydroelectric power plant using remote seismic observations

Gromyko

Fedin

Seleznev

et al. 2022

Earthq Engng Struct Dyn

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After a major accident in August 2009 at the Sayano‐Shushenskaya Hydroelectric Power Plant (SS HPP), all 10 hydroelectric units (HU) with a total capacity of 6400 MW failed. After investigating the causes of the accident and the reconstruction of the hydroelectric power plant, there was to develop a methodology for monitoring the operation of the newly commissioned HU. For inspection, a method was developed based on monitoring the natural frequencies of the dam structures and forced vibrations caused by the operation of the equipment. The article presents the main results of this study. Within the framework of the proposed approach, monitoring was carried out at various observation points of the dam structures and the turbine hall, as well as on a network of remote seismic stations. Based on the data recorded since 2009, an assessment of the parameters of dynamic impacts arising from the operation of hydraulic units of various types in different load modes on the elements of the HPP structure was carried out, and cause‐and‐effect relationships between changes in the operating modes of equipment and recorded vibrations in dam structures were investigated. An estimate of the general level of vibrations during the operation of various types of hydraulic units is given. As a result, the operating modes of hydraulic units are determined, in which there is a multiple increase in the amplitude of natural vibrations of the dam, an assessment of the operational characteristics of hydraulic units is given, taking into account the impact of seasonal conditions and changes in the water level in the reservoir.

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Continuous dynamic monitoring of an onshore wind turbine

Cited by 64 publications

References 17 publications

Vibration-based damage detection in a wind turbine using 1 year of data

Vibration-based damage detection in a wind turbine using 1 year of data

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

Monitoring of the hydraulic units operation of the Sayano‐Shushenskaya hydroelectric power plant using remote seismic observations

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