Signal quality enhancement using higher order wavelets for ultrasonic TOFD signals from austenitic stainless steel welds

Praveen, Angam; Vijayarekha, K.; Abraham, Saju T.; Venkatraman, B.

doi:10.1016/j.ultras.2013.03.013

Cited by 44 publications

(17 citation statements)

References 13 publications

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“…The proposed method uses Daubechies wavelet and decomposed signal up to 5 level and the improvement in SNR more than 13dB. Daubechies and Symlet wavelet based DWT is used in [32]. It inspects the ultrasonic signal by using high-order wavelet and 2 level of decomposition.…”

Section: Wavelet Transformmentioning

confidence: 99%

Ultrasonic signal processing techniques for Pipeline: A review

et al. 2019

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Monitoring pipeline wall is an important issue in oil and gas industries. Over time, the defect can occur in the pipeline and can impact surrounding population, environment and may result in injuries or fatalities. While flaws in the pipeline could be detected by ultrasonic testing and monitoring the severity of the flaw. The limitation of ultrasonic testing is the signal contaminate with backscattering noise, which masks flaw echoes in the measured signal. Signal processing take place in the recent year to de-noising for improving signal-to-noise ratio and extract the feature for flaws classification. This paper presents a comprehensive overview of signal processing techniques used to improve ultrasonic detection method with and without intelligent classifier. Finally, the advantages and disadvantages feature extraction provided for classifications process.

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Section: Wavelet Transformmentioning

confidence: 99%

Ultrasonic signal processing techniques for Pipeline: A review

et al. 2019

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“…The second method called "APM" is based on the approximate Prony method. In [36], instead of lower order wavelets, higher order wavelets with large number of coefficients and vanishing moments were used to remove noise from noisy data. In [37], a new threshold processing function is presented which is continuous and higher-order derivative.…”

Section: Simulated Ultrasound Signalmentioning

confidence: 99%

Improved Denoising Method for Ultrasonic Echo with Mother Wavelet Optimization and Best-Basis Selection

Mohammadi¹

2016

IJECE

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Weak features of ultrasonicnondestructive test signals are usually immersed in noisy signals. So, in this paper, we proposed an improved scheme for noise reduction and feature extraction based on discrete wavelet transform. The basis of the mother wavelet was selected to be matched to a given signal. Three different constraints were presented to minimize the error between the denoised and the given signal. It should be mentioned that such an optimum wavelet can represent the signal more compactly with a few large coefficients which can be considered as the signal features. Standard signals and simulated ultrasonic echo were used to evaluate the performance of the presented algorithms. Signal to error ratio was used to compare the designed wavelet performance with that of standard wavelets. Simulation results revealed that the proposed method outperformed the other presented methods and even standard wavelets. The results also has shown that the signal-based noise reduction algorithms make the feature extraction more reliable. Finally, the performance of the proposed algorithm was compared with other methods from different literatures. Keyword:Denoising Discrete wavelet transform Threshold Ultrasonic_NDT

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“…From equation (13), it is known that the traditional threshold has not addressed the scale of wavelet decomposition, which results in low precision. For this reason, this paper adopts the adaptive threshold as follows [18]:…”

Section: Adaptive Threshold and Logarithmic Smoothing Threshold Functionmentioning

confidence: 99%

Ultrasonic Signal De-noising Based on Wavelet Entropy and Inter-Scale Correlation

Zhi¹,

Cui²

2016

IJMUE

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Signal quality enhancement using higher order wavelets for ultrasonic TOFD signals from austenitic stainless steel welds

Cited by 44 publications

References 13 publications

Ultrasonic signal processing techniques for Pipeline: A review

Ultrasonic signal processing techniques for Pipeline: A review

Improved Denoising Method for Ultrasonic Echo with Mother Wavelet Optimization and Best-Basis Selection

Ultrasonic Signal De-noising Based on Wavelet Entropy and Inter-Scale Correlation

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