详细信息

Novel Defect Location Method for Pressure Vessel by Using L (0,2) Mode Guided Wave  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Novel Defect Location Method for Pressure Vessel by Using L (0,2) Mode Guided Wave

作者:Zhai, Shuangmiao[1];Zhou, Shaoping[1];Chen, Shaojie[1];Yang, Bin[1];Li, Yong[1]

机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份:2019

卷号:141

期号:1

外文期刊名:JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME

收录:;EI(收录号:20185206293972);WOS:【SCI-EXPANDED(收录号:WOS:000455022200011)】;

基金:National Natural Science Foundation of China (Grant No. 51575185).

语种:英文

外文关键词:Clustering algorithms - Cost effectiveness - Guided electromagnetic wave propagation - Fuzzy clustering - Losses - Corrosion resistance - Defects

摘要:Pressure vessel plays an increasingly important role in process industries, in which its performance degradation, such as crack and corrosion, may lead to serious accidents and significant economic losses. Guided wave-based method is a cost-effective means for pressure vessel rapid interrogation. In this paper, the method based on direct-wave and fuzzy C-means clustering algorithm (FCM) is proposed to locate defect for pressure vessel. Finite element (FE) simulation is applied to analyze the propagation characteristics of guided waves. The experiment using the method based on direct-wave and FCM has been conducted on the barrel and head with different sensor arrays, respectively. The variation rule of the direct-wave difference with different distance coefficients has been studied. By combining FCM with the direct-wave difference, the defects on barrel and head can be detected accurately. The defect inspection experiment for pressure vessel using ellipse imaging algorithm is conducted as well. The experimental results show that the method based on direct-wave and FCM can locate the defects on barrel and head of the pressure vessel effectively and accurately.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心