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Hardware-Based Parameter Extraction of Acoustic Emission Burst Signal for Structural Health Monitoring Applications.

Authors :
Bhagat, Chandan K.
Das, Nilangshu K.
Mukhopadhyay, C. K.
Purna Chandra Rao, B.
Source :
IETE Journal of Research; Mar2019, Vol. 65 Issue 2, p157-163, 7p
Publication Year :
2019

Abstract

Acoustic Emission (AE) is sensitive to micro-mechanisms of deformation and fracture processes and can give indication prior to failure of a material. The parameters of the AE burst signals are correlated to the micro mechanics of damage and hence desired to be extracted in real-time. This paper proposes a hardware-based approach for extraction of AE signal parameters such as peak amplitude, RMS, AE count, event duration, and rise time, which reduces processing load of the microcontroller and signal processing time significantly. Multisim software is used for simulation of the hardware design and the results are presented in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03772063
Volume :
65
Issue :
2
Database :
Complementary Index
Journal :
IETE Journal of Research
Publication Type :
Academic Journal
Accession number :
135610794
Full Text :
https://doi.org/10.1080/03772063.2017.1417753