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

fYear

2001

fDate

2001

Firstpage

357

Lastpage

360

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;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Conference_Location

Nagoya

Print_ISBN

0-7803-7306-5

Type

conf

DOI

10.1109/SICE.2001.977861

Filename

977861