Research On Wind Turbine Blades Detection Based On Fiber Bragg Grating Sensing Technology

With the development of science and technology and improvement of environmental awareness,new energy technology is growed as required and rapidly developed. Wind energy is a kind ofimportant renewable energy, and it plays a decisive role in wind generation. The safety and reliabilityof wind turbine blade become more and more important for wind power generation equipment,therefore, non-destructive detection of wind turbine blade is currently one hotspots research in newenergy technology. This paper is studied on glass fiber composite with fiber bragg grating sensor,static stress and dynamic stress detection experiments on glass fiber composites are done, and thealgorithm based on energy spectrum of damage identification methods is studied, on this basis, fiberbragg grating sensing is constructed to detect wind turbine blade damage.Firstly，this paper describes the background and significance of the turbine blade detection andstatus of fiber bragg grating to detect turbine blade. Secondly, we analyze the principle of fiber bragggrating sensor and detect the glass fiber composite materials by fiber grating sensor statically. Theeffect of fiber grating arrangement to material static stress detection is obtained.Then, we detect theglass fiber composite materials by fiber grating sensor dynamically. In the vibration experiment, weobtained the relationship between the response signals and the distance and setting angle of sensorarrangement. After the vibrations on composite materials through the use of a different frequency, weobtain that the natural frequency of glass fiber composite materials below100Hz is about20Hz. In theimpulse experiment, we get the relationship between impulse signal and sensor arrangement positions.And we study the impact response of the damage identification which is based on the wavelet packetenergy spectrum. At last, this paper do the research on damage identification for turbine blade inshock response and get the damage signal characteristics of turbine blade wall delamination. Theouter surface damage of wind turbine blade is simulated and impact experiment is implemented on it.Then, we analyse the energy spectrum using wavelet and get the characteristics of damage condition.As a result, we realize the damage identification of the turbine blade.