AUTOMATED FLAW DETECTION SCHEME FOR CAST AUSTENITIC STAINLESS STEEL WELD SPECIMENS USING HILBERT-HUANG TRANSFORM OF ULTRASONIC PHASED ARRAY DATA

被引：4

作者：

Khan, Tariq ^{[1
]}

Majumdar, Shantanu ^{[1
]}

Udpa, Lalita ^{[1
]}

Ramuhalli, Pradeep ^{[2
]}

Crawford, Susan ^{[2
]}

Diaz, Aaron ^{[2
]}

Anderson, Michael T. ^{[2
]}

机构：

[1] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA

[2] Pacific Northwest Natl Lab, Richland, WA 99354 USA

来源：

REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 31A AND 31B | 2012年 / 1430卷

关键词：

Ultrasonic Testing; Time and Frequency;

D O I：

10.1063/1.4716360

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

The objective of this work is to develop processing algorithms to detect and localize flaws using ultrasonic phased-array data. Data was collected on cast austenitic stainless steel (CASS) weld specimens on-loan from the U. S. nuclear power industry's Pressurized Water Reactor Owners Group (PWROG) traveling specimen set. Each specimen consists of a centrifugally cast stainless steel (CCSS) pipe section welded to a statically cast (SCSS) or wrought (WRSS) section. The paper presents a novel automated flaw detection and localization scheme using low frequency ultrasonic phased array inspection signals from the weld and heat affected zone of the base materials. The major steps of the overall scheme are preprocessing and region of interest (ROI) detection followed by the Hilbert-Huang transform (HHT) of A-scans in the detected ROIs. HHT offers time-frequency-energy distribution for each ROI. The accumulation of energy in a particular frequency band is used as a classification feature for the particular ROI.

引用

页码：1235 / 1242

页数：8

共 26 条

[21] ULTRASONIC PHASED ARRAY EVALUATIONS OF IMPLANTED AND IN-SITU GROWN FLAWS IN CAST AUSTENITIC STAINLESS STEEL PRESSURIZER SURGE LINE PIPING
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[23] Ultrasonic phased array sound field mapping through large-bore coarse-grained cast austenitic stainless steel (CASS) piping materials
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[24] The defect detection and non-destructive evaluation in weld zone of austenitic stainless steel 304 using neural network ultrasonic wave
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[25] The defect detection and non-destructive evaluation in weld zone of austenitic stainless steel 304 using neural network-ultrasonic wave
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[26] Data-driven automatic validation of phased-array ultrasonic-testing data acquisitions of welds in thick austenitic stainless-steel plates for the ITER vacuum vessel manufacturing
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