Download the full-sized PDF of Ultrasonic Signal Processing for Non-Destructive Testing and EvaluationDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Ultrasonic Signal Processing for Non-Destructive Testing and Evaluation Open Access


Other title
Non-Destructive Testing and Evaluation
Ultrasonic Testing
Analytic Wavelet Thresholding
Time of Flight Estimation
Signal Processing
Type of item
Degree grantor
University of Alberta
Author or creator
Hoseini, Seied Mohammad Reza
Supervisor and department
Ming J. Zuo/ Xiaodong Wang
Examining committee member and department
Zhao, Qing (Electrical Engineering)
Mandal, Mrinal (Electrical Engineering)
Liang, Ming (Mechanical Engineering)
Koch, Bob (Mechanical Engineering)
Department of Mechanical Engineering

Date accepted
Graduation date
Doctor of Philosophy
Degree level
In this thesis, ultrasonic B-scan signal processing is investigated. A B-scan displays a cross-sectional view of the test piece and defects within it. Compared to A-scan signals, B-scan images offer more reliable fault detection. Nonetheless, traditional ultrasonic signal processing methods are mostly based on A-scan signals and little research has been reported on ultrasonic B-scan signal processing. The aim of the current thesis is to investigate different aspects of ultrasonic B-scan signal processing including denoising, parameter estimation and fault identification. The stationary wavelet transform (SWT) is used to denoise B-scan signals. SWT exhibits a good denoising performance. A thresholding scheme based on the amplitude of the analytic signal was reported to further improve the denoising performance of the stationary wavelet transform. In this work, the application of the analytic wavelet thresholding is extended to two dimensional signals for removing noise from B-scans. In addition, an extra step is proposed for removing noises caused by the waves reflected at the wedge-specimen interface. The ultrasonic signal is further processed to extract fault related features. A model-based method is proposed for estimating parameters of ultrasonic echoes such as the time of arrival of echoes. Despite many advantages such as excellent estimation accuracy, the current model-based methods applied to ultrasonic signals suffer from a major disadvantage. These methods often involve solving an optimization problem with many parameters. Some researchers calculated the envelope of the ultrasonic echo to reduce the number of parameters by removing phase and frequency from the parameter set. A quasi maximum likelihood estimator is proposed for estimating parameters of the echo envelope. Using experimental and simulated signals, it is shown that the proposed method improves the parameter estimation compared to the state of the art available in the literature. Current crack sizing techniques often neglect the effect of the crack orientation when estimating the crack length. This introduces errors in estimating the length of inclined cracks. A modified relative arrival time technique is proposed for estimating the crack length and inclination angle using the relative time of arrival of the echo diffracted from the crack tip with respect to the echo reflected from the crack corner.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
M.R. Hoseini, M.J. Zuo, and X. Wang, Two dimensional analytic wavelet thresholding and its application to ultrasonic pulse-echo B-scan denoising, In Proceedings of CCECE. 2010, 1-5.Mohammad R. Hoseini, Ming J. Zuo, Xiaodong Wang, Denoising ultrasonic pulse-echo signal using two-dimensional analytic wavelet thresholding, Measurement 45(3): 255-267, 2012.Mohammad R. Hoseini, Xiaodong Wang, Ming J. Zuo, Estimating ultrasonic time of flight using envelope and quasi maximum likelihood method for damage detection and assessment, Measurement 45(8):2072-2080, 2012.

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 6694525
Last modified: 2015:10:12 10:49:25-06:00
Filename: Hoseini_Seied Mohammad Reza_ Spring 2013.pdf
Original checksum: 2842c0d37426134d0743f4080474b832
Well formed: true
Valid: false
Status message: Invalid destination object offset=6372341
Status message: Invalid destination object offset=6372341
Status message: Invalid destination object offset=6372341
Status message: Invalid destination object offset=6372341
Status message: Invalid destination object offset=6372341
File title: 1 Introduction
File title: Thesis
File author: Mohammad R. Hoseini
Page count: 208
Activity of users you follow
User Activity Date