Research on Automatic Positioning System of Ultrasonic Testing of Wind Turbine Blade Flaws

Liu, Q X; Wang, Z H; Shu-yao, Long; Cai, Muyao; Wang, X; Chen, X Y; Bu, Jing Long

doi:10.1088/1755-1315/93/1/012074

IOP Conf. Ser.: Earth Environ. Sci.

2017

DOI: 10.1088/1755-1315/93/1/012074

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Research on Automatic Positioning System of Ultrasonic Testing of Wind Turbine Blade Flaws

Q X Liu¹,

Z H Wang

Long Shu-yao

et al.

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Cited by 3 publications

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References 15 publications

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“…The first one was insensitive to WTB faults. The guided wave method was able to detect and locate the faults by using the network of novelty detectors methodology.Liu et al[57] utilised an automatic positioning system in real time to measure the coordinates in working conditions. The system had an ADNS-3080 optoelectronic chip, a power conversion module and an USB transmission module.…”

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A review of non-destructive testing on wind turbines blades

2020

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Wind energy, with an exponential growth in the last years, is nowadays one of the most important renewable energy sources. Modern wind turbines are bigger and complex to produce more energy. This industry requires to reduce its operating and maintenance costs and to increase its reliability, safety, maintainability and availability. Condition monitoring systems are beginning to be employed for this purpose. They must be reliable and cost-effective to reduce the long periods of downtimes and high maintenance costs, and to avoid catastrophic scenarios caused by undetected failures. This paper presents a survey about the most important and updated condition monitoring techniques based on non-destructive testing and methods applied to wind turbine blades. In addition, it analyses the future trends and challenges of structural health monitoring systems in wind turbine blades.

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A review of non-destructive testing on wind turbines blades

2020

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Few-shot wind turbine blade damage early warning system based on sound signal fusion

2022

Multimedia Systems

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Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades

Wang

Xue

et al. 2022

Energies

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With global warming and the depletion of fossil energy sources, renewable energy is gradually replacing non-renewable energy as the main energy in the future. As one of the fastest growing renewable energy sources, the safety and reliability of wind energy have been paid more and more attention. The size of modern wind turbines is becoming larger and larger. As the main component of wind turbines to capture energy, the blade is often damaged by various complex environments and irregular loads. Therefore, the health monitoring and damage identification of wind turbine blades have become a main research focus. At present, in addition to the overview of various detection methods of wind turbine blades, there is a lack of comprehensive classifications and overviews of the main damage types, damage-generation mechanisms, and basic principles of the damage-detection technology of wind turbine blades. In this paper, firstly, the common fault types of wind turbine blades, such as trailing edge cracking, lightning strike, leading edge corrosion pollution, icing, and delamination, as well as their generation mechanism, are comprehensively analyzed. Then, the basic principles and the latest research progress of the current main detection technologies, such as vision, ultrasonic, thermal imaging, vibration, acoustic emission, and so on, are comprehensively reviewed. The advantages and limitations of the various detection technologies for practical application are summarized. Finally, through a comparative analysis of the various damage-detection technologies, we try to find potential future research directions, and draw conclusions. This paper will provide a reference for understanding the mechanism behind the main damage types and the damage-detection methods of wind turbine blades. It has important reference value for further promoting practical research of wind turbine blade damage-detection technology and grasping this research direction.

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Research on Automatic Positioning System of Ultrasonic Testing of Wind Turbine Blade Flaws

Cited by 3 publications

References 15 publications

A review of non-destructive testing on wind turbines blades

A review of non-destructive testing on wind turbines blades

Few-shot wind turbine blade damage early warning system based on sound signal fusion

Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades

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