基于统计模式识别的压力管道损伤检测  

Damage detection of pressure pipe based on statistical pattern recognition theory

作　　者：侯小强 朱军伟[2] 任建民[2] 

机构地区：[1]甘肃建筑职业技术学院,兰州730050 [2]兰州交通大学土木工程学院,兰州730070

出　　处：《南水北调与水利科技》2015年第4期813-816,共4页South-to-North Water Transfers and Water Science & Technology

基　　金：甘肃省科技支撑计划研究项目(1304FKA055);甘肃省高等学校科研项目(2013B-124);国家电网甘肃电力科技项目(5227011600D9)

摘　　要：基于统计模式识别理论,采用AMRA时序分析方法,通过长自回归模型计算残差法和最小二乘法的结合来估计模型参数,从而建立了系统模型。运用均值控制图的方法对压力管道的振动信息特征进行提取、选择,从而有效地判别压力管道的无损与损伤问题。数值模拟结果表明,基于统计模式识别的均值控制图的结构异常检验方法,能够准确诊断检测结构的损伤状态,而且对于损伤程度和损伤位置都有很强的敏感性。Based on the statistical patt ern recognition theory, t he AMRA tim ing analysis method combined w ith the long autore-gressive model residual method and the least squares method w ere used to estimate the model parameters and then to develop the system model. The mean cont rol chart method w as used to extract and select the vibration information and feature of the pressure pipe, therefore the damage of the pressure pipe can be ident ified effectively. T he simulation result s show ed that struc-tural abnormality test method of the mean control chart, w hich is based on the statist ical pattern recognition theory, can diag-nose the structural damage accurately, and is sensitive to the damage degree and location.

关 键 词：统计模型 AMRA时序分析 特征值 均值控制图 损伤检测 

分 类 号：TV732.4[水利工程—水利水电工程]