Validated model based development of damage index for Structural Health Monitoring of offshore wind turbine support structures

Tewolde, Simon; Höffer, Rüdiger; Haardt, H.

doi:10.1016/j.proeng.2017.09.344

Cited by 12 publications

(8 citation statements)

References 3 publications

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“…Other studies also focus on analyzing the operating conditions. For example, Tewolde et al [22] discussed a method dedicated to offshore wind turbines.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Wind Turbine Health Using Drifting Concepts

Jastrzębska¹,

Morales-Hernández²,

Nápoles³

et al. 2021

Preprint

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Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality. In this paper, we propose two new approaches for the analysis of wind turbine health. Both approaches are based on abstract concepts, implemented using fuzzy sets, which summarize and aggregate the underlying raw data. By observing the change in concepts, we infer about the change in the turbine's health. Analyzes are carried out separately for different external conditions (wind speed and temperature). We extract concepts that represent relative low, moderate, and high power production. The first method aims at evaluating the decrease or increase in relatively high and low power production. This task is performed using a regression-like model. The second method evaluates the overall drift of the extracted concepts. Large

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“…Other studies also focus on analyzing the operating conditions. For example, Tewolde et al [22] discussed a method dedicated to offshore wind turbines.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Wind Turbine Health Using Drifting Concepts

Jastrzębska¹,

Morales-Hernández²,

Nápoles³

et al. 2021

Preprint

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“…However, a risk-based monitoring strategy is based on the prediction of possible deterioration and faults occurring by means of risk and structural reliability analysis, as shown in Figure 7 (Tewolde et al, 2017). The faults are usually predicted by tracking the changes in vibration responses, modal parameters of the structure and by setting alarms for when thresholds for predetermined parameters are crossed.…”

Section: Of a Wt Structurementioning

confidence: 99%

“…The drawback of this method is the possibility of sudden unpredicted events (unexpected scenarios that are not taken into account during the analysis) or even technical failures in the SHM system. More information on these strategies can be found in Höffer et al (2016) and Tewolde et al (2017).…”

Section: Of a Wt Structurementioning

confidence: 99%

“…In the case of offshore WTs, hotspots also include the transition piece, such as grouted connections between tower and foundation structure. Another failure scenario is change in the foundation of the structure due to scouring of the sea bed, which leads to changes in boundary conditions and can influence the natural frequencies and overall behaviour of the structure (Tewolde et al, 2017).…”

Section: Hotspots and Damage Scenariosmentioning

confidence: 99%

“…RBI data evaluation strategy afterTewolde et al (2017).monitoring of dynamic structural characteristics and real-time evaluation of measured data. The objectives and benefits of risk-based SHM include the following: • • Early identification of structural damage and reduced maintenance cost; • • More accurate lifetime prediction; • • Planning of maintenance measures; • • Continuous monitoring and database update; • • Reduced downtime of the structure; • • Improving the design phase.…”

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confidence: 99%

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Perspectives on condition monitoring techniques of wind turbines

et al. 2018

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The ever-increasing development of wind power plants has raised awareness that an appropriate condition monitoring system is required to achieve high reliability of wind turbines. In order to develop an efficient, accurate and reliable condition monitoring system, the operations of wind turbines need to be fully understood. This article focuses on the online condition monitoring of electrical, mechanical and structural components of a wind turbine to diminish downtime due to maintenance. Failure mechanisms of the most vulnerable parts of wind turbines and their root causes are discussed. State-of-the-art condition monitoring methods of the different parts of wind turbine such as generators, power converters, DC-links, bearings, gearboxes, brake systems and tower structure are reviewed. This article addresses the existing problems in some areas of condition monitoring systems and provides a novel method to overcome these problems. In this article, a comparison between existing condition monitoring techniques is carried out and recommendations on appropriate methods are provided. In the analysis of the technical literature, it is noted that the effect of wind speed variation is not considered for traditional condition monitoring schemes.

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Real-time monitoring system for scour around monopile foundation of offshore wind turbine

Tang

Zhao

2021

J Civil Struct Health Monit

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Validated model based development of damage index for Structural Health Monitoring of offshore wind turbine support structures

Cited by 12 publications

References 3 publications

Measuring Wind Turbine Health Using Drifting Concepts

Measuring Wind Turbine Health Using Drifting Concepts

Perspectives on condition monitoring techniques of wind turbines

Real-time monitoring system for scour around monopile foundation of offshore wind turbine

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