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contributor authorZhai, Shuangmiao
contributor authorZhou, Shaoping
contributor authorChen, Shaojie
contributor authorYang, Bin
contributor authorLi, Yong
date accessioned2019-03-17T11:04:58Z
date available2019-03-17T11:04:58Z
date copyright12/14/2018 12:00:00 AM
date issued2019
identifier issn0094-9930
identifier otherpvt_141_01_010910.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256633
description abstractPressure 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleNovel Defect Location Method for Pressure Vessel by Using L (0, 2) Mode Guided Wave
typeJournal Paper
journal volume141
journal issue1
journal titleJournal of Pressure Vessel Technology
identifier doi10.1115/1.4039502
journal fristpage10910
journal lastpage010910-10
treeJournal of Pressure Vessel Technology:;2019:;volume( 141 ):;issue: 001
contenttypeFulltext


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