Novelty detection based on elastic wave signals measured by different techniques

• Autorzy: Nazarko P. , Ziemiański L.
• Języki publikacji: EN

Abstrakty

EN

The paper discusses the results of laboratory experiments i n which three independent measurement techniques were compared: a digital oscilloscope, phased array acquisition system, a laser vibrometer 3D. These techniques take advantage of elastic wave signals actuated and sensed by a surface-mounted piezoelectric transducers as well as non-contact measurements. In these e xperiments two samples of aluminum strips were investigated while the damage was modeled by drilling a hole. The structure responses recorded were then subjected to a procedure of signal processing, and features’ extraction was done by PrincipalComponents Analysis. A pattern database defined was used to train artificial neural networks for the purpose of damage detection.

Słowa kluczowe

EN

artificial neural networks; damage detection; structural health monitoring; elastic waves; non-destructive testing

PL

sztuczne sieci neuronowe; wykrywanie uszkodzeń; inteligentne czujniki pomiarowe; fale sprężyste; badania nieniszczące

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2012
• Tom: Vol. 19, no. 4
• Strony: 317--330
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr.

Twórcy

autor

Nazarko P.

autor

Ziemiański L.

• Rzeszow University of Technology Powstańców Warszawy 12, 35-959 Rzeszów, Poland,

Bibliografia

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• [7] MATLAB 7.2, Signal Processing Toolbox, Neural Network Toolbox.
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