title: A new technique for the identification of ultrasonic flaw signals using deconvolution.
abstract: The identification of ultrasonic flaw signals is a difficult task in the angle beam ultrasonic testing of welded joints due to the presence of non-relevant signals from the geometric reflectors such as weld-roots and counter-bores. This paper describes a new approach to identify ultrasonic flaw signals in such a problematic situation. A similarity function is defined as the deconvolution of a target signal by a reference signal. The similarity functions for the same type of flaws/references are symmetric bandlimited impulse-like patterns with larger amplitudes while those for different types of flaws/references are asymmetrical broad patterns with relatively smaller amplitudes. Therefore, ultrasonic signals could be identified by the pattern of the similarity function. In the initial experiments, the proposed technique showed great potential for identifying ultrasonic flaw signals in the inspection of weld joints.
authors.affiliation: School of Mechanical Engineering, Sungkyunkwan University, Suwon 440-746, South Korea. yhkim@skku.edu
authors.forename: Young H
authors.initials: YH
authors.lastname: Kim
authors.forename: Sung-Jin
authors.initials: SJ
authors.lastname: Song
authors.forename: Jun Young
authors.initials: JY
authors.lastname: Kim