Identification of fatigue damage evaluation using entropy of acoustic emission waveform

Farhan Tanvir; Tariq Sattar; David Mba; Graham Edwards

doi:10.1007/s42452-019-1694-7

Identification of fatigue damage evaluation using entropy of acoustic emission waveform

Farhan Tanvir^*
, Tariq Sattar
, David Mba
, Graham Edwards

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (SciVal)

Original language	English
Article number	138
Journal	SN Applied Sciences
Volume	2
Issue number	1
DOIs	https://doi.org/10.1007/s42452-019-1694-7
Publication status	Published (VoR) - Jan 2020

Funding

Funding was provided by Lloyd’s Register Foundation.

Keywords

Acoustic emission
Digital image correlation
Fatigue damage
Structural health monitoring

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10.1007/s42452-019-1694-7

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title = "Identification of fatigue damage evaluation using entropy of acoustic emission waveform",

keywords = "Acoustic emission, Digital image correlation, Fatigue damage, Structural health monitoring",

author = "Farhan Tanvir and Tariq Sattar and David Mba and Graham Edwards",

note = "Funding Information: Funding was provided by Lloyd{\textquoteright}s Register Foundation. Publisher Copyright: {\textcopyright} 2019, The Author(s).",

year = "2020",

month = jan,

doi = "10.1007/s42452-019-1694-7",

language = "English",

volume = "2",

journal = "SN Applied Sciences",

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T1 - Identification of fatigue damage evaluation using entropy of acoustic emission waveform

AU - Tanvir, Farhan

AU - Sattar, Tariq

AU - Mba, David

AU - Edwards, Graham

PY - 2020/1

Y1 - 2020/1

KW - Acoustic emission

KW - Digital image correlation

KW - Fatigue damage

KW - Structural health monitoring

UR - https://www.scopus.com/pages/publications/85100656652

UR - https://www.scopus.com/pages/publications/85100656652#tab=citedBy

U2 - 10.1007/s42452-019-1694-7

DO - 10.1007/s42452-019-1694-7

M3 - Article

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SN - 2523-3971

VL - 2

JO - SN Applied Sciences

JF - SN Applied Sciences

IS - 1

M1 - 138

ER -

Identification of fatigue damage evaluation using entropy of acoustic emission waveform

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Keywords

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