Ultrasonic flaw detection using threshold modified S-transform

Benammar, Abdessalem; Drai, Redouane; Guessoum, Abderrezak

doi:10.1016/j.ultras.2013.09.004

Cited by 22 publications

(9 citation statements)

References 7 publications

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“…S-transform combines the time-frequency representation of the Gabor transform and multi-resolution feature of wavelet transform [ 31 ]. Benamma et al [ 32 ] proposed a new modified S-transform based on thresholding technique in order to get a better time frequency resolution. Xu [ 33 ] used the frequency energy spectrum with S transform to identify defects in the concrete structure.…”

Section: Introductionmentioning

confidence: 99%

High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm

Cao

Jiang

et al. 2020

Materials

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This paper presents a method based on signal correlation to detect delamination defects of widely used carbon fiber reinforced plastic with high precision and a convenient process. The objective of it consists in distinguishing defect and non-defect signals and presenting the depth and size of defects by image. A necessary reference signal is generated from the non-defect area by using autocorrelation theory firstly. Through the correlation calculation results, the defect signal and non-defect signal are distinguished by using Euclidean distance. In order to get more accurate time-of-flight, cubic spline interpolation is introduced. In practical automatic ultrasonic A-scan signal processing, signal correlation provide a new way to avoid problems such as signal peak tracking and complex gate setting. Finally, the detection results of a carbon fiber laminate with artificial delamination through ultrasonic phased array C-scan acquired from Olympus OmniScan MX2 and this proposed algorithm are compared, which showing that this proposed algorithm performs well in defect shape presentation and location calculation. The experiment shows that the defect size error is less than 4%, the depth error less than 3%. Compared with ultrasonic C-scan method, this proposed method needs less inspector’s prior-knowledge, which can lead to advantages in automatic ultrasonic testing.

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Section: Introductionmentioning

confidence: 99%

High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm

Cao

Jiang

et al. 2020

Materials

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“…As a result of this limitation, frequency resolution of ST is higher at lower frequency domains, while at higher frequency domains, sharper time localizations are obtained. 28–30 In Figure 10, the change in TOF of the L(0,1) mode obtained from the ST is shown as a function of the corrosion level in the steel bar.…”

Section: Signal Processing Of Experimental Results and Discussionmentioning

confidence: 99%

Detection and quantification of diameter reduction due to corrosion in reinforcing steel bars

Amjad

Yadav

Kundu

2015

Structural Health Monitoring

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Guided wave–based techniques are becoming popular for damage detection in pipes, rods, and plates. For monitoring reinforced concrete beams, the longitudinal guided wave is excited and recorded after its transmission through the reinforcing steel bar for estimating its corrosion level. Recorded signal amplitude is affected by the corrosion level. Thus, the corrosion level is estimated from the transmitted wave amplitude. Instead of investigating the amplitude of the transmitted guided waves, the differential time-of-flight of the propagating wave modes is recorded in this article. The differential time-of-flight is obtained from the time–frequency representations of the recorded transient signals and from the high temporal resolution using the cross-correlation technique. It is observed that the corrosion level can be quantified from the change in time-of-flight of the L(0,1) mode. The guided wave modes are experimentally generated, recorded, and compared with the theoretical dispersion curves to identify different modes and select the most efficient mode for quantifying the corrosion level. Unlike the recorded signal strength, the time-of-flight is not influenced by the bonding condition between the sensors and the specimen; therefore, the time-of-flight-based corrosion-monitoring technique is less influenced by the sensor bonding condition. This investigation is necessary because most investigators have studied the effect of corrosion on the recorded signal strength instead of its time-of-flight.

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“…This method shows that the stransform provide better frequency resolution and time for detection of multiple echoes. Furthermore, in [41] the author used the modified S-transform (MST) and proposed a new method in thresholding modified stransform (TMST). The two parameters are very important in ultrasonic detection which is: arrival time and center frequency.…”

Section: S-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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Ultrasonic flaw detection using threshold modified S-transform

Cited by 22 publications

References 7 publications

High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm

High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm

Detection and quantification of diameter reduction due to corrosion in reinforcing steel bars

Ultrasonic signal processing techniques for Pipeline: A review

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