CATEGORY: NON DESTRUCTIVE TESTING
2013 IEEE International Instrumentation and
Measurement Technology Conference (I2MTC), 6-9 May 2013, Page(s): 1676 – 1679,
Minneapolis, MN
Flaw
characterization in ultrasonic non-destructive testing method using exponential
modeling
Ravanbod, H. ; Karimi, F. ; Amindavar, H.
Electron. Res. Inst., Sharif Univ. of Technol., Tehran, Iran
Abstract
Determining
the shape, area, volume, and direction of flaws using ultrasonic imaging of
metallic pieces, is a method estimating the severity of their defects.
Researchers employ a variety of methods to process ultrasound images. Methods
include spectral analyses, statistical, mathematical and intelligent methods.
Each method has advantages and disadvantages.
Prony algorithm, which has been used as a parametric method for
extracting exponential components of a signal, has several applications in
signal modeling, system identification and classification. After simulating
pieces of oil pipeline, researchers employed digital Wavelet transform to
reduce the noise of simulated images. Then the two dimensional Prony algorithm
is applied to the images. After estimating the poles and residue of the signal
using the Prony method, some features are extracted from these components in
order to detect and classify defects. The method not only locates a flaw
position in the image, but also simultaneously estimates the depth and area of
the defect.
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