2008
DOI: 10.1016/j.tafmec.2007.11.004
|View full text |Cite
|
Sign up to set email alerts
|

Inverse method for detection and sizing of cracks in thin sections using a hybrid genetic algorithm based signal parametrisation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 22 publications
(10 citation statements)
references
References 16 publications
0
10
0
Order By: Relevance
“…Either a signal processing or image processing approach can be applied to improve the accuracy in the measurement. Many signal processing techniques have been used for the refinement of experimental results by analyzing the amplitudes, phase velocity, instantaneous frequencies, or time of flight of the received signals [4,[28][29][30][31][32]. However, the consideration of the experimental results as an image requires an effective image processing technique to extract the defect features.…”
Section: Image Processing Techniquementioning
confidence: 99%
“…Either a signal processing or image processing approach can be applied to improve the accuracy in the measurement. Many signal processing techniques have been used for the refinement of experimental results by analyzing the amplitudes, phase velocity, instantaneous frequencies, or time of flight of the received signals [4,[28][29][30][31][32]. However, the consideration of the experimental results as an image requires an effective image processing technique to extract the defect features.…”
Section: Image Processing Techniquementioning
confidence: 99%
“…The major limitation in the ultrasonic NDT is the unavailability of suitable signal processing methods for the processing of noisy ultrasonic signals in order to estimate the flaws/defects on the structure in an effective manner [ 26 ]. The signal processing techniques are required not only for the analysis of received ultrasonic signals but also the automation of these techniques can further enhance the reliability and repeatability of the non-destructive testing and evaluation (NDT&E) process [ 27 , 28 ].…”
Section: Ultrasonic Signal Processingmentioning
confidence: 99%
“…Such signals have been analyzed in the time domain, frequency domain, or time-frequency/scale domain. Signal averaging, auto-and cross-correlation matched filtering, autoregressive analysis, order statistics, frequency spectrum analysis, split spectrum processing ͑SSP͒, 1,2 wavelet transform ͑WT͒, 3 and model-based optimization algorithms 4,5 have all been used to analyze ultrasonic signals. In this paper we have no intention of reviewing all these techniques.…”
Section: Introductionmentioning
confidence: 99%