基于云模型和不确定推理的特高压输电塔损伤检测研究

项目名称： 基于云模型和不确定推理的特高压输电塔损伤检测研究

项目编号： No.51468058

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 建筑科学

项目作者： 王玉山

作者单位： 石河子大学

项目金额： 48万元

中文摘要： 针对疆电外送特高压线路中的输电塔损伤检测问题，本项目提出了基于云模型和不确定推理相结合的损伤检测方法。其主要研究目的是：建立一种特高压输电塔结构损伤的整体预警和检测机制。其学术思想为：利用特高压输电塔的风致响应提取结构的多模态特征数据，并建立相应的云模型特征值和损伤检测的推理规则，将多特征参数进行不确定推理运算，不同特征参数利用不同的损伤检测推理规则，获取相应的计算结果，再将计算结果进行云化处理，最后利用逆向云发生器生成最终的损伤检测结果。本项目利用多特征参数和多条件多规则推理相结合，可以有效的消减测量噪声和误差的影响，提高识别结果的可靠性。本项目所采用的基于云模型和不确定推理的损伤检测方法，目前尚无类似的研究报道，故研究方法具有创新性，项目结合了疆电外送这一区域特点，因此，本项目也具有地区特性和实用价值。

中文关键词： 损伤检测；输电塔；云模型；不确定推理；模态参数

英文摘要： In order to solve damage detection problem of ultra-high voltage transmission tower in Xinjiang electricity transmission, a damage detection method based on cloud model and uncertain reasoning is presented in this project. The aim is to build a kind of monitor system to alarm and detect the damage of ultra-high transmission tower. First, the multiple mode parameters are extracted from the wind-induced vibration response, cloud models of mode parameters are calculated and damage detection reasoning rules are built. Then, the multiple mode parameters are calculated by using different reasoning rules and the calculated results are processed again by using cloud model. Finally, backward cloud generator is utilized to obtain the damage detection results. The multiple mode parameters and multi-condition reasoning rules are used to eliminate the measured noise and error and to enhance the reliability of detection results. The damage detection method based on cloud model and uncertain reasoning is presented in this project. We haven't found the similar methods in published literatures. So, the proposed method has innovative significance. This regional characteristic of Xinjiang electricity transmission is also considered in this project. Therefore, the proposed project also has practical value.

英文关键词： damage detection;transmission tower;cloud model;uncertain reasoning;mode parameters