Model-based estimation of ultrasonic echoes. Part II: Nondestructive evaluation applications

Demirli, Ramazan; Saniie, Jafar

doi:10.1109/58.920714

Cited by 101 publications

(55 citation statements)

References 7 publications

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“…The changed pulse can be treated as an energy-attenuated, time-shifted and frequency-dissipated version of the excitation pulse [19,20]. In this paper, we utilize the Gaussian echo model to analyze the incident pulse.…”

Section: Model Estimation Of Incident Pulsesmentioning

confidence: 99%

An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

Chang

Zhao

et al. 2017

Meas. Sci. Technol.

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In guided wave pipeline inspection, echoes reflected from closely spaced reflectors generally overlap, meaning useful information is lost. To solve the overlapping problem, sparse deconvolution methods have been developed in the past decade. However, conventional sparse deconvolution methods have limitations in handling guided wave signals, because the input signal is directly used as the prototype of the convolution matrix, without considering the waveform change caused by the dispersion properties of the guided wave. In this paper, an adaptive sparse deconvolution (ASD) method is proposed to overcome these limitations. First, the Gaussian echo model is employed to adaptively estimate the column prototype of the convolution matrix instead of directly using the input signal as the prototype. Then, the convolution matrix is constructed upon the estimated results. Third, the split augmented Lagrangian shrinkage (SALSA) algorithm is introduced to solve the deconvolution problem with high computational efficiency. To verify the effectiveness of the proposed method, guided wave signals obtained from pipeline inspection are investigated numerically and experimentally. Compared to conventional sparse deconvolution methods, e.g. the l 1 -norm deconvolution method, the proposed method shows better performance in handling the echo overlap problem in the guided wave signal.

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Section: Model Estimation Of Incident Pulsesmentioning

confidence: 99%

An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

Chang

Zhao

et al. 2017

Meas. Sci. Technol.

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“…greater than a few wavelengths, these methods also offer the possibility to determine the defect shape and/or orientation of the defect directly from the image [6]. Sizing of large defects is also possible using mathematical models of scattered signal data [7], corner trap the tip diffracted echoes [8] and superimposed echo modelling [9], [10]. If the defect is small, it has been shown that characterisation may be possible by utilising information contained within the defect scattering matrix, which describes the angular scattering behaviour of a given scatterer [11].…”

Section: Introductionmentioning

confidence: 99%

A numerical database for ultrasonic defect characterisation using array data: Robustness and accuracy

Malkin

Caleap

Drinkwater

2016

NDT & E International

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. AbstractElastodynamic scattering matrices are known to contain geometrical information about a given scatterer, such as its size and shape. Here, the extent to which this scattered information can be retrieved using an ultrasonic array and used to characterise defects for Non-Destructive Evaluation is explored. Experimentally measured defect scattering matrices are compared to a database of possible scatterers and the nearest neighbour used to characterise the defect's geometry in terms of crack length and orientation. As an example, a database of scattering matrices for small (lengths 0.2-2.0mm) cracks at a range of frequencies (2-20MHz) is formed. The short range similarity (i.e. that between close neighbours) and the long range similarity (i.e. uniqueness) are used to understand the uncertainties inherent in this approach. In addition, the effect of spatially coherent noise, such as grain scattering in a polycrystalline metal, on the scattered information content is quantified. It is shown that as the noise level or frequency increases, so the information retrievable from a given crack is reduced, setting bounds on the accuracy of characterisation possible from a given ultrasonic dataset.

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“…In deconvolution-based resolving (impulse response) techniques (e.g., [3]- [5]), the band-limited transducer and overlapping echo waveforms have been reported as main limiting factors of this class of methods. In a model-based approach, the particular challenges have been listed as follows: 1) if the echo waveform is a nonlinear function of parameters, parameter estimation becomes a nonlinear problem for which existence and uniqueness are serious issues; 2) the effect of noise on the parameter estimation must be understood; and 3) the model order selection, which is not always known, plays a role in the estimation process [3].…”

Section: Introductionmentioning

confidence: 99%

“…In a model-based approach, the particular challenges have been listed as follows: 1) if the echo waveform is a nonlinear function of parameters, parameter estimation becomes a nonlinear problem for which existence and uniqueness are serious issues; 2) the effect of noise on the parameter estimation must be understood; and 3) the model order selection, which is not always known, plays a role in the estimation process [3]. The noise in data has also been noted to be a major problem in deconvolution methods [3]. In [5] and [6], a number of methods are introduced to address the noise sensitivity problem, and their shortcomings are discussed.…”

Section: Introductionmentioning

confidence: 99%

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Frequency Domain Thickness Measurement Approach for Microscale Multilayered Structures

Cetinkaya

2006

IEEE Trans. Instrum. Meas.

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Abstract-A frequency domain thickness measurement approach for multilayered structures consisting of micrometer-scale viscoelastic thin layers is introduced. The technique presented in present work is based on a transfer matrix formulation and pulse/echo boundary conditions. The algorithms are developed from a first-principle-based analysis of linear elastic wave propagation in layered structures. An experimental procedure is introduced for determining the natural frequencies of a multilayer structure consisting of highly attenuative layers. Extraction of layer thicknesses from a set of natural frequencies is also demonstrated. One unique feature of the current technique is that it requires acoustic equipment operating at relatively low frequency. Specific challenges due to strong frequency-dependent attenuation in viscoelastic materials are discussed and addressed.

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Model-based estimation of ultrasonic echoes. Part II: Nondestructive evaluation applications

Cited by 101 publications

References 7 publications

An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

A numerical database for ultrasonic defect characterisation using array data: Robustness and accuracy

Frequency Domain Thickness Measurement Approach for Microscale Multilayered Structures

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