基于光纤光栅传感器的风力涡轮机叶片损伤特征描述与预测

Q3 Engineering

EAI Endorsed Transactions on Energy Web Pub Date : 2024-04-12 DOI:10.4108/ew.5752

Xin Guan, Qizheng Mu, Xiaoju Yin, Yuxin Wang

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引用次数: 0

摘要

引言：作为一种可再生的清洁能源，风力发电在新能源发电行业中扮演着非常重要的角色。风力涡轮机叶片是各种风力涡轮机的重要部件，其安全性和可靠性非常重要。目标：利用小波分析法中的能谱模拟算法对风力发电机叶片损伤进行模拟分析，验证风力发电机叶片损伤分析的正确性和有效性。方法：利用 Matlab 仿真介绍光纤光栅传感器静态和动态检测的相关实验，分析风电叶片受到冲击破坏时的信号特征，为大型风电叶片外部损伤分析提供依据。结果：本文获得的主要结果如下。通过对小波能量包的分解分析，得到了小波损伤前后小波冲击能量谱的梯度变化并与直方图进行了对比，对图像中各三维小波能量包的冲击能量谱进行了对比分析，很好地实现了对固体复合材料小波损伤梯度的识别。结论：借助 Matlab 仿真采集冲击响应信号，利用小波包能谱法对信号进行分析，可以得出风电叶片损伤的特征。

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

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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来源期刊

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.