Split-Spectrum Processing with Raised Cosine Filters of Constant Frequency-to-Bandwidth Ratio for L(0,2) Ultrasonic Guided Wave Testing in a Pipeline

Ultrasonic guided wave (UGW) nondestructive testing suffers from poor signal interpretation accuracy caused by the coherent noise that is related to dispersion, multi-mode and mode conversion. In order to split the L(0,2) UGW from the coherent noise, split-spectrum processing with raised cosine filt...

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Bibliographic Details
Published in:Applied sciences 2022-08, Vol.12 (15), p.7611
Main Authors: Tang, Binghui, Wang, Yuemin, Chen, Ang, Zhao, Yunwei, Xu, Jianjian
Format: Article
Language:English
Subjects:
Accuracy
Bandwidths
Coherence
Electromagnetic wave filters
Filters
Frequency analysis
Frequency dependence
Methods
Noise
Nondestructive testing
Propagation
raised cosine filter
Signal processing
signal resolution
Signal to noise ratio
Spectrum allocation
Spectrum analysis
Split spectrum processing
split-spectrum processing method
Time-frequency analysis
ultrasonic guided wave
Ultrasonic testing
Velocity
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Summary:Ultrasonic guided wave (UGW) nondestructive testing suffers from poor signal interpretation accuracy caused by the coherent noise that is related to dispersion, multi-mode and mode conversion. In order to split the L(0,2) UGW from the coherent noise, split-spectrum processing with raised cosine filters of constant frequency-to-bandwidth ratio (FBR-RC-SSP) is proposed. With the advantages of time domain resolution and frequency domain split, FBR-RC-SSP is studied based on time-frequency analysis using the chirplet transform, and the effects of filter parameters on signal-to-noise ratio gain (SNRG) and defect-to-coherent noise gain (DCRG) are explained. The excellent effects of eliminating the coherent noise and improving the signal resolution in FBR-RC-SSP are reported by the validation of synthesized, simulated and experimental UGW signals, of which the average SNRG and DCRG are 22.92% and 23.71% higher than those of traditional SSP using Gaussian filters, and it has the potential to locate and characterize defects in further UGW testing research.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12157611