Ultrasonic non-destructive evaluation with spatial combination of Wigner?Ville Transforms

Rodríguez-Hernández, Miguel A.

doi:10.1016/s0963-8695(03)00033-1

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…In signal processing technique, time-frequency representation is the best procedure [5]. SSP is one of the techniques which will give information about the frequency component present in the signal and time representation of the signal [7].…”

Section: Resultsmentioning

confidence: 99%

Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear and Non-Stationary Signals

Muthumari¹,

Vijayarekha²,

Chatterjee³

2010

IJCA

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Ultrasonic welding defect signals are not processed, they are very difficult to identify the pattern of the defect, especially the TOFD welding defect signals are often mixed with noise and lead to confusion between grain noise and small flaws. It is very difficult to interpret the result defect and noise due to larger grain noise. This paper describes the comparative study of matlab simulation results of classic approach signal processing methodology and Split Spectrum Processing (SSP) with the Polarity Thresholding algorithm (PT) to the TOFD welding defect. A-scan signals are used to enhance SNR while suppressing the grain noise. The simulation results show that the welding defect TOFD signals after the SSP investigation are the best and produce the qualified output.

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Section: Resultsmentioning

confidence: 99%

Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear and Non-Stationary Signals

Muthumari¹,

Vijayarekha²,

Chatterjee³

2010

IJCA

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“…Ultrasonic testing is a widely used nondestructive testing technology for its advantage of convenience, economy, safety, and so on. In ultrasonic testing, the IF is a very important instantaneous physical parameter [1]. The different IF characteristics between defect echo and noise can be used to detect defect and reduce noise for ultrasonic signal [2,3].…”

Section: Introductionmentioning

confidence: 99%

Instantaneous Frequency Estimation of Ultrasonic Testing Signal Based on Matching Pursuits

2013

AMR

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The differences of instantaneous frequency (IF) characteristics between the defect echo and the noise can be used to detect defect and suppress noise for ultrasonic testing signal. Therefore, the IF is one of the important instantaneous parameters of ultrasonic testing signal. To estimate the IF of ultrasonic testing signals more effectively, the peak of time-frequency representation (TFR) from matching pursuits (MP) decomposition is proposed. The performances of IF estimators are compared on the simulated signals at different signal-to-noise ratio (SNR) and the real ultrasonic testing signal. The simulation results present that the proposed method can estimate accurate IF at different SNR.

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Localization of isolate flaws by combination of noised signals detected from perpendicular transducers

Rodrı́guez

Ramos

Emeterio

2004

NDT & E International

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Ultrasonic non-destructive evaluation with spatial combination of Wigner?Ville Transforms

Cited by 11 publications

References 7 publications

Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear and Non-Stationary Signals

Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear and Non-Stationary Signals

Instantaneous Frequency Estimation of Ultrasonic Testing Signal Based on Matching Pursuits

Localization of isolate flaws by combination of noised signals detected from perpendicular transducers

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