基于t-SNE多特征融合的风力机塔架异常检测方法

张文韬, 秦仙蓉, 杨穹, 侯冰柠, 张氢

太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 91-97.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 91-97. DOI: 10.19912/j.0254-0096.tynxb.2024-0811

基于t-SNE多特征融合的风力机塔架异常检测方法

  • 张文韬, 秦仙蓉, 杨穹, 侯冰柠, 张氢
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ANOMALY DETECTION METHOD FOR WIND TURBINE TOWER BASED ON T-SNE MULTI-FEATURE FUSION

  • Zhang Wentao, Qin Xianrong, Yang Qiong, Hou Bingning, Zhang Qing
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摘要

针对风力发电机塔架的异常状态识别问题,根据监测的结构响应信号,提出一种基于t-分布随机邻域嵌入(t-SNE)多特征融合的结构异常检测方法。该方法通过估计信号的时域、频域和时频域统计指标,提取塔架的高维特征向量;利用t-SNE算法进行降维融合,得到数据在低维空间的可视化表达;采用聚类算法分析数据状态,构建异常指标定量分析,实现结构异常检测。对风力机塔架在台风期与地震期的工程实际应用表明,所提方法可清晰地识别出因环境因素变化所引起的结构响应异常。

Abstract

An anomaly detection method based on multi-feature fusion and t-distributed stochastic neighbor embedding (t-SNE) is proposed to identify the abnormal state of wind turbine towers based on monitored structural response signals. The method involves evaluating the time domain, frequency domain, and time-frequency domain statistical indicators of the monitored structure response signals to extract high-dimensional multi-feature vectors. The t-SNE algorithm is used for dimensionality reduction and fusion to obtain a visual representation of the data in a low-dimensional space. The K-means clustering algorithm is employed to analyze the data state, and a quantitative analysis of the anomaly index is then constructed to realize structural anomaly detection. The proposed method has been successfully applied to engineering applications of wind turbine towers during typhoon and earthquake periods, demonstrating its effectiveness in detecting abnormal structural responses caused by environmental changes.

关键词

风力发电机 / 异常检测 / 数据可视化 / 特征融合 / t-分布随机邻域嵌入(t-SNE)

Key words

wind turbines / anomaly detection / data visualization / feature fusion / t-distributed stochastic neighbor embedding (t-SNE)

引用本文

导出引用
张文韬, 秦仙蓉, 杨穹, 侯冰柠, 张氢. 基于t-SNE多特征融合的风力机塔架异常检测方法[J]. 太阳能学报. 2025, 46(9): 91-97 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0811
Zhang Wentao, Qin Xianrong, Yang Qiong, Hou Bingning, Zhang Qing. ANOMALY DETECTION METHOD FOR WIND TURBINE TOWER BASED ON T-SNE MULTI-FEATURE FUSION[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 91-97 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0811
中图分类号: TK83   

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