Literature DB >> 28407564

Processing of acoustic signals via wavelet & Choi - Williams analysis in three-point bending load of carbon/epoxy and glass/epoxy composites.

Nima Beheshtizadeh1, Amir Mostafapour2.   

Abstract

In this article, acoustic emission method was used for monitoring of flexural loading of GFRP (Glass fiber/epoxy composite) and CFRP (Carbon fiber/epoxy composite) via one acoustical sensor. In order to signal processing, various methods were employed such as wavelet transform, Short time Fourier transform, Choi - Williams transform and etc. Using two signal processing methods, wavelet transform and Choi - Williams transform, for monitoring of GFRP and CFRP specimens, determines strengths and weaknesses of each method and appointed the best analysis for signal processing of three point bending load of this type of composites. Based on information obtained from comparing of CFRP and GFRP, it is resulted that, the ratio of elastic modules and maximum load bearing of CFRP to GFRP is 1.36 and 3.25 respectively. Moreover, based on comparing of two analysis method results, Wavelet analysis was appointed better signal processing method for this type of load and material.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon/epoxy composite; Choi - Williams analysis; Glass/epoxy composite; Signal processing; Wavelet analysis

Year:  2017        PMID: 28407564     DOI: 10.1016/j.ultras.2017.04.001

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  1 in total

1.  A Modified Empirical Wavelet Transform for Acoustic Emission Signal Decomposition in Structural Health Monitoring.

Authors:  Shaopeng Dong; Mei Yuan; Qiusheng Wang; Zhiling Liang
Journal:  Sensors (Basel)       Date:  2018-05-21       Impact factor: 3.576

  1 in total

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