利用时域数据的输电塔结构损伤神经网络评估法Neural Network Appraisal Method of Transmission Tower Structure Damage by Time Domain Data
祝贺
ZHU He[1
摘要(Abstract)：
输电塔结构的结构损伤检测是电力线路正常运行的重要保障手段,通过基于时间序列分析AR-MA模型阐述了输电塔结构损伤预警的时间序列方法,并基于神经网络分析方法给出了输电塔结构损伤预警的处理步骤,从而可以有效地实现结构损伤评估。500kV输电塔结构损伤评估算例表明,提出的损伤评估方法对结构损伤具有敏感性,具备实时在线损伤预警的应用价值。
The transmission tower structure damage examination is important safeguard method of power line. This article analyzed the structure damage method based on ARMA model. The warning processing step of tower structure damage was given based on neural network analysis method in this paper,thus the structure damage might be appraised effectively. The 500 kV transmission tower structure damage appraisal example indicats that the damage appraisal method is sensitivity to the structure damage,which has the real-time online damage early warning application value.
关键词(KeyWords)：
时域数据;输电塔结构;结构损伤;神经网络
time domain data;transmission tower structure;structure damage;neural network
基金项目(Foundation): 中国电机工程学会电力青年科技创新项目(200816);; 吉林省教育厅“十一五”重点科研项目(200751)
作者(Author):
祝贺
ZHU He[1
DOI: 10.19585/j.zjdl.2009.05.003
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