一种变工况下海流发电机叶片附着物检测方法  

Blade biofouling detection method for marine current turbines under variable marine conditions

作　　者：谢涛 王天真[1] 汤天浩 徐玉洁 XIE Tao;WANG Tianzhen;TANG Tianhao;XU Yujie(School of Logistics Engineering,Shanghai Maritime University,Shanghai 201306,China;Shanghai Power Supply Society,Shanghai 200086,China)

机构地区：[1]上海海事大学物流工程学院,上海201306 [2]上海电源学会,上海200086

出　　处：《电机与控制学报》2024年第5期101-110,118,共11页Electric Machines and Control

基　　金：国家自然科学基金(62303305);中国博士后科学基金(2023M742263)。

摘　　要：针对流速变化使得变工况下海流发电机叶片附着物故障特征模糊、鉴别性差的问题,提出一种基于自适应频率正比采样(APFS)的叶片附着物检测方法。首先,采集不同工况下海流发电机电流信号,通过希尔伯特变换提取出定子电流信号的瞬时频率;然后,利用瞬时频率与采样频率比值变步长采样瞬时频率序列,将非稳定瞬时转动频率转变为稳定值;最后,利用排列熵设置采样迭代停止阈值,将重采样后的瞬时频率序列作为故障特征划分为样本矩阵,建立主成分分析检测模型以实现附着物检测。基于0.23 kW海流发电样机的实验平台被搭建用于验证所提方法的有效性,实验结果表明,所提算法在对抗流速变化下引起的海流发电机变工况问题中,误报率低至0.25%,具备较高检测精度和鲁棒性。Aiming at the problem of ambiguous characteristics and poor discriminative properties of blade biofouling in marine current turbines(MCTs),a blade biofouling detection method based on adaptive proportional frequency sampling(APFS)was proposed.Firstly,the current signals of MCTs under differ-ent operating conditions were collected,and the instantaneous frequencies of the stator current signals were extracted by Hilbert transform;then,the instantaneous frequency sequence was sampled and the non-stable instantaneous rotation frequency was transformed into a stable value;finally,the sampling iter-ation stopping threshold was set by using the permutation entropy,and the re-sampled instantaneous fre-quency sequence was classified as a sample as a fault feature matrix to establish a principal component a-nalysis detection model for attachment detection.An experimental platform based on a 0.23 kW,MCT prototype was constructed to verify the effectiveness of the proposed method,and the experimental results show that the proposed algorithm has a low false alarm rate as low as 0.25%against the variable operat-ing conditions caused by the current speed change,and has high detection accuracy and robustness.

关 键 词：海流发电机 故障检测 叶片附着物 希尔伯特变换 自适应频率正比采样 主元成分分析 

分 类 号：TM313[电气工程—电机]