Title :
Analysis of impact sound waveform by answer-in-weights neural network
Author :
Kanada, Hajime ; Ogawa, Takehko ; Mori, Kiyomi ; Sakata, Masayoshi
Author_Institution :
Dept. of Electron. & Syst., Takushoku Univ., Tokyo, Japan
Abstract :
A method to estimate the elastic moduli of composite material from the impact sound was proposed. For estimating the degree of fatigue of the material, it is important to detect long-term components as well as periodic components. We propose to use answer-in-weights networks for estimating the periodic and long-term components of the damping waveform, simultaneously. To show the effectiveness of the method, we performed simulations on the damping vibration data occurring due to the impact sound of the composite material
Keywords :
acoustic signal processing; composite materials; damping; digital simulation; elastic moduli measurement; fatigue testing; impact testing; neural nets; time series; time-frequency analysis; answer-in-weights neural network; composite material; damping vibration; elastic moduli; fatigue; impact sound waveform; long-term components; periodic components; Acoustic materials; Acoustical engineering; Composite materials; Damping; Fatigue; Fluctuations; Life estimation; Neural networks; Phase estimation; Systems engineering and theory;
Conference_Titel :
SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
Conference_Location :
Nagoya
Print_ISBN :
0-7803-7306-5
DOI :
10.1109/SICE.2001.977861
