基于导波检测的管道缺陷扩展趋势预测  

Pipe Defect Development Prediction Based on Guided Wave Testing

作　　者：申传俊[1,2] 宋奂寰 刘燕[2] 王悦民[2] 孙丰瑞[2] 

机构地区：[1]三亚市92823部队 [2]海军工程大学船舶与动力学院 [3]海军烟台航空工程学院兵器科学与技术系

出　　处：《振动．测试与诊断》2013年第6期1008-1013,1095,共6页Journal of Vibration,Measurement & Diagnosis

基　　金：总装预研基金资助项目(9140A17030908JB1105);中国博士后科学基金资助项目(20110491881);海军航空工程学院青年教员资助项目

摘　　要：将基于t算子的进化规划算法（tEP）应用于匹配追踪方法以提高计算效率并降低复杂性，利用匹配追踪方法分解一根含有不同深度槽陷的钢管导波检测信号，提取缺陷回波信号的幅值。将幅值作为原始序列，利用改进的灰色系统预测缺陷导波信号幅度，得出预测误差在2％～5％。该方法能够较准确地预测管道缺陷导波回波信号幅度，实现管道缺陷尺寸的扩展趋势预测。The method of defect feature extraction and defect size development prediction is developed based on guided wave testin.At first,the evolutionary programming using mutations based on the t probability distribution(t EP)is applied to the MP to reduce complexity of MP.A steel pipe with a notch of different depth is tested by guided wave testing system.The measured signals are decomposed and reconstructed by MP and the amplitudes of defect echo are extracted.The signal amplitudes are made to be the original sequence to predict the defect development by modified grey system.The prediction error of the defect echo amplitude is analyzed and the error ratio is restricted within 2%~5%.Therefore,this method can effectively estimate the defect echo amplitude and the steel pipe defect development can be quantitatively identified.

关 键 词：匹配追踪 进化规划 灰色系统 缺陷 预测 

分 类 号：TG115.28[金属学及工艺—物理冶金]