电力工程技术2025，Vol.44Issue(5)：79-89,11.DOI:10.12158/j.2096-3203.2025.05.007
毫米波雷达风力机叶片覆冰检测方法
Millimeter-wave radar implementation scheme for wind turbine blade icing detection
摘要
Abstract
Wind energy is recognized as a renewable source due to its reliability and low cost.However,under cold and humid conditions,blade icing poses a serious hazard to the performance and durability of wind turbines.Millimeter-wave radar-based inspection techniques have gained attention for their ability to penetrate non-polarized materials and provide surface conditions and in-depth information independently of light and weather conditions.A real-time detection method for wind turbine blade icing using 77 GHz millimeter-wave radar is proposed.Mel-frequency cepstral coefficients(MFCCs)are extracted from mixed-frequency time-domain signals and fused with one-dimensional convolutional neural network(1D-CNN)for classification and identification of blade icing types.The effectiveness of the proposed method is verified through experiments with varying distances and directions.Four icing types and different thicknesses are accurately recognized,achieving a recognition rate of 94%.Thin ice coverage on wind turbine blades can be recognized and warned against.关键词
风能/毫米波雷达/一维卷积神经网络(1D-CNN)/梅尔频率倒谱系数(MFCC)/叶片覆冰/分类识别Key words
wind energy/millimeter-wave radar/one-dimensional convolutional neural network(1D-CNN)/Mel-frequency cepstral coefficient(MFCC)/blade icing/classification and identification分类
信息技术与安全科学引用本文复制引用
张自豪,王志春..毫米波雷达风力机叶片覆冰检测方法[J].电力工程技术,2025,44(5):79-89,11.基金项目
内蒙古自治区自然科学基金资助项目(2024LHMS06020) （2024LHMS06020）
内蒙古自治区科技计划资助项目(2020GG0157) （2020GG0157）
