Svilainis, L.; Kitov, S.; Rodriguez Martinez, A.; Vergara Domínguez, L.; Dumbrava, V.; Chaziachmetovas, A. (2012). Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging. IOP Conference Series: Materials Science and Engineering. 42:5-9. doi:10.1088/1757-899X/42/1/012007
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56924
Title:
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Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging
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Author:
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Svilainis, L.
Kitov, S.
Rodriguez Martinez, Alberto
Vergara Domínguez, Luís
Dumbrava, V.
Chaziachmetovas, A:
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UPV Unit:
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Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
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Issued date:
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Abstract:
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[EN] Ultrasonic imaging of composites was investigated. Glass and carbon fiber
reinforced plastic produced by resin transfer molding and prepreg forming were analyzed. In
some of the samples air bubbles were trapped ...[+]
[EN] Ultrasonic imaging of composites was investigated. Glass and carbon fiber
reinforced plastic produced by resin transfer molding and prepreg forming were analyzed. In
some of the samples air bubbles were trapped during RTM (resin transfer molding) process and
interlayer gaps were present in prepreg technology samples. One of the most expected
techniques to apply in such case is the Split Spectrum processing. On the other hand such
signals require specific processing to reliably reconstruct the temporal position of the defect
reflection. Correlation processing can be used for signal compression or Wiener filtering can be
applied for spectral content equalisation. Pulse signals are simple to generate, but lack the
possibility to alter the signal’s spectrum shape. Spread spectrum signals offer a powerful tool
for signal energy over frequency band increase and resolution enhancement. CW (continuous
wave) burst has high energy but lacks the bandwidth needed for SSP (spread spectrum
processing). The aim of the investigation was to compare the performance of the above signals
in case of composite imaging, when various Split Spectrum Processing techniques are used
with preceding Wiener processing for spectral content compensation. Resulting composite
signals and images obtained are presented. Structural noise removal performance was
evaluated as Receiver Operating Characteristics (ROC).
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Subjects:
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Ultrasonic imaging of composites
,
Structural noise removal performance
,
Receiver Operating Characteristics
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Copyrigths:
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Reconocimiento (by)
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Source:
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IOP Conference Series: Materials Science and Engineering. (issn:
1757-8981
) (eissn:
1757-899X
)
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DOI:
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10.1088/1757-899X/42/1/012007
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Publisher:
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IOP Publishing: Conference Series
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Publisher version:
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http://dx.doi.org/10.1088/1757-899X/42/1/012007
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Conference name:
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International Symposium of Ultrasound in the Control of Industrial Processes (UCIP)
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Conference place:
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Madrid, Spain
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Conference date:
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April 18-20, 2012
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Project ID:
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LMT/MIP- 058/2012
GV/PROMETEO/2010/40
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Thanks:
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This research (acquisition system and spread spectrum signals) was funded by a grant (No. MIP058/2012) from the Research Council of Lithuania. SSP part was supported by PROMETEO 2010/40.
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Type:
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Artículo
Comunicación en congreso
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