Testing, inspecting and monitoring technologies for wind turbine blades: A survey

Yang, Bin; Sun, Dongbai

doi:10.1016/j.rser.2012.12.056

Cited by 127 publications

(73 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed approach, figure 4, consists of condition monitoring to detect damage, NDI methods to characterize the damage, and damage and fracture mechanical modelling to predict future damage evolution [19][20][21], creating the science-based knowledge required to make a decision about what to do.…”

Section: Visionmentioning

confidence: 99%

Damage tolerance and structural monitoring for wind turbine blades

McGugan

Pereira

Sørensen

et al. 2015

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

The paper proposes a methodology for reliable design and maintenance of wind turbine rotor blades using a condition monitoring approach and a damage tolerance index coupling the material and structure. By improving the understanding of material properties that control damage propagation it will be possible to combine damage tolerant structural design, monitoring systems, inspection techniques and modelling to manage the life cycle of the structures. This will allow an efficient operation of the wind turbine in terms of load alleviation, limited maintenance and repair leading to a more effective exploitation of offshore wind.

show abstract

Section: Visionmentioning

confidence: 99%

Damage tolerance and structural monitoring for wind turbine blades

McGugan

Pereira

Sørensen

et al. 2015

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…The reliability of wind turbine blades should be validated through fatigue test [1][2][3][4] . The single-point fatigue test of the large-blade requires high power for the exciter, moreover, bending moment on the blade applied by the single-point exciter could not fit well with target value in the blade long direction [5][6] .…”

Section: Introductionmentioning

confidence: 99%

Horizontal dual-point excitation and fatigue test of full-scale wind turbine blade

Pan

Zhao³

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Abstract. In order to meet the requirements of large-blade fatigue testing, a horizontal dual-point linear exciter loading program is developed. In this paper, Lagrange's equation and FEM method are used to simulate the dual-point excitation theory model. The horizontal dual-point excitation characteristics of the blade are validated by the experimental method. The relationship among the dual-point exciting force, cycle time and bending moment during blade fatigue test in flap wise direction is studied. The advantages of horizontal dual-point excitation in blade fatigue test are analysed. Compared with vertical single-point excitation when the equal bending moment is reached, the exciting force and energy consumption required for dual-point excitation are reduced by 60.0% and 96.8%. Resonant frequency of the test system is improved by reducing the dead weight because of dual-point horizontal excitation. The entire blade fatigue test time is shortened by 7.4%. The use of horizontal dual-point excitation could save energy and shorten the entire fatigue test time.

show abstract

“…Despite the fact that wind turbines (WTs) constitute one of the most important, continuously evolving and expensive structures in modern engineering [1,2], their maintenance and inspection is still succeeded using conventional methods [3], such as visual inspection (planned and unplanned), non-destructive evaluation (i.e., crack detection using ultrasound technologies) and post-processing of SCADA data. Specialized methods are only focused on specific components, as for example the condition monitoring (CM) of elements of the drive train (i.e., gearbox and main bearing) [4], while structural health monitoring (SHM) systems are deployed mostly for research purposes, or only during the certification stage, and are far from forming part of the actual engineering practice [5].…”

Section: Introductionmentioning

confidence: 99%

Data–driven Identification, Classification and Update of Decision Trees for Monitoring and Diagnostics of Wind Turbines

Abdallah¹,

Dertimanis²,

Chatzi³

2017

Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECO

View full text Add to dashboard Cite

Abstract. This paper describes a conceptual framework for the online monitoring of wind turbines (WTs) relying on an object-oriented (OO), event-and-decision tree-driven platform for information processing and propagation. To this end, a WT is viewed as a multilayered system of objects (e.g. structure, controller, actuator, etc.) that are defined on the basis of abstract superclasses, attributed with specific properties and methods. The former generally provides insight about the current state of the respective object, while the latter communicates state information and determines the interaction among objects and events. The term state refers herein to a set of mutually exclusive "positions", which a specific object may reach (e.g. safe, critical, fail, etc.), while an unknown state is also included in order to take into account possible combinations of events that have not been registered during the design phase and would eventually be identified in the decision tree through the real-time telemetry. The envisioned platform is purely probabilistic, e.g. a set of probabilities is initially assigned to all events and updated accordingly, based on actual information extracted from the WT. This information may either be acquired using sensors (through corresponding sensor objects), or may be estimated using appropriate algorithms (through corresponding methods, such as Kalman-based filters). A paradigm of the proposed conceptual framework focuses on the tower substructure of the WT and indicates the potential of the proposed approach, especially in respect to the design of specialized software for monitoring and diagnostics of both new and existing WT installations.

show abstract

Testing, inspecting and monitoring technologies for wind turbine blades: A survey

Cited by 127 publications

References 33 publications

Damage tolerance and structural monitoring for wind turbine blades

Damage tolerance and structural monitoring for wind turbine blades

Horizontal dual-point excitation and fatigue test of full-scale wind turbine blade

Data–driven Identification, Classification and Update of Decision Trees for Monitoring and Diagnostics of Wind Turbines

Contact Info

Product

Resources

About