In this paper, a damage detection method in the wind turbine blade based on the FBG is presented. Firstly, the strain response under varying levels of static load is measured using a distributed sensor
In this paper, the integration of quasi‐distributed strain sensing for wind turbine blades is explored, providing a new fibre optic detection technique for strain monitoring. Wind power is an important part
The study highlights various techniques, including acoustic emission analysis, strain signal monitoring, and vibration analysis, as effective approaches for damage detection. Vibration
Various techniques including strain, vibration and acoustic can detect damage in composite blades. The most promising methods are Bragg grating techniques. Bragg grating sensors are not sensitive for
Vibration analysis, in particular, shows promise for fault identification by analyzing changes in dynamic characteristics. Damage indices based on modal properties, such as natural frequencies,...
This paper applies bibliometric analysis to classify existing blade damage detection methods, comparing major non-destructive testing techniques, including strain data monitoring,
One of the essential parts of a wind power generator that captures wind energy is the wind turbine blade. The safety of the blades rapidly declines as a wind turbine''s operating period grows.
In the view of recent developments and the lack of comprehensive survey that can summarize and classify the state-of-the-art damage detection of WTBs, in addition to illustrate the
A physics-aware spatiotemporal diagnostic framework that integrates ensemble empirical mode decomposition with a hybrid Transformer-convolutional neural network architecture for
In the process of wind turbine blade defect detection, to address the challenges of extracting fine-grained features and inaccurate positioning due to blurred defect textures and large-scale
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