Development and Application of a Simple and Reliable Power Regulator for Small-scale Island Wind Turbine

Dong, Yongjun; Rao, K. Venkateswara; Chen, Jianmei; Xu, Mingqi; Zhang, Xueming; Guo, Jian-You

doi:10.1080/15325008.2017.1318319

Cited by 2 publications

(1 citation statement)

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“…Wind turbine in terms of blade materials used is the combination of various composite materials to form a thin shell blade structure, this composition of the main type of material is usually called glass fiber can also be said to be a reinforced version of glass fiber, the wind turbine blade introduced and analyzed in this paper is composed of glass fiber composite materials [2]. Due to the wind turbine manufacturing production process and other factors, the wind turbine blade in the operation of the power supply service the wind turbine load, and other factors interference and impact, factors will directly lead to the wind a xinguan@sina.com, b 905105393@qq.com, c* Corresponding authors: lnsolyxj@163.com, d* 261235654@qq.com turbine blade internal cracks, voids, delamination or debonding and other damage [3][4][5], so need to take some special detection methods to the wind turbine blade implementation of strict testing.…”

Section: Introductionmentioning

confidence: 99%

Characterization and Prediction of Wind Turbine Blade Damage Based on Fiber Grating Sensor

Guan,

Mu,

Yin

et al. 2024

EAI Endorsed Trans Energy Web

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INTRODUCTION: As a renewable and clean use of energy, wind power generation has a very important role in the new energy generation industry. For the many parts of various wind turbines, the safety and reliability of wind turbine blades are very important. OBJECTIVES: The energy spectrum simulation algorithm included in the wavelet analysis method is used to simulate and analyzewind turbine blade damage, to verify the correctness and validity of wind turbine blade damage analysis. METHODS: Matlab simulation is used to introduce the experiments related to the static and dynamic detection of fiber grating sensors, analyze the signal characteristics of the wind turbine blade when it is damaged by the impact, and provide a basis for the analysis of the external damage of large wind turbine blade. RESULTS: The main results obtained in this paper are the following. By analyzing the decomposition of wavelet packets, the gradient change of wavelet impact energy spectrum before and after the wavelet damage was obtained and compared with the histogram, and the impact energy spectrum of each three-dimensional wavelet energy packet in the image was compared and analyzed, which can well realize the recognition of wavelet damage gradient for solid composite materials. CONCLUSION: With the help of Matlab simulation to collect the impact response signal, using the wavelet packet energy spectrum method to analyze the signal, can derive the characteristics of wind turbine blade damage.

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Section: Introductionmentioning

confidence: 99%