Automated flaw detection scheme for cast austenitic stainless stell weld specimens using Hilbert-Huang transform of ultrasonic phased array data

Tariq Khan, Shantanu Majumdar, Lalita Udpa, Pradeep Ramuhalli, Susan Crawford, Aaron Diaz, Michael T. Anderson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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 stell (CASS) weld specimens onloan from the U.S. nuclear power industry' Pressurized Walter Reactor Owners Group (PWROG) traveling specimen set. Each specimen consists of a centrifugally cast stainless stell (CCSS) pipe section welded to a statically cst(SCSS) or wrought (WRSS) section. The paper presents a novel automated flaw detection and localization scheme using low frequency ultrasonic phased array inspection singals from the weld and heat affected zone of the based 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.

Original languageEnglish
Title of host publicationReview of Progress in Quantitative Nondestructive Evaluation
Pages1235-1242
Number of pages8
Edition31
DOIs
StatePublished - 2012
Externally publishedYes
Event38th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE - Burlington, VT, United States
Duration: Jul 17 2011Jul 22 2011

Publication series

NameAIP Conference Proceedings
Number31
Volume1430
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference38th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE
Country/TerritoryUnited States
CityBurlington, VT
Period07/17/1107/22/11

Keywords

  • Time and Frequency
  • Ultrasonic Testing

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