Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach

Hadi Salehi; Saptarshi Das; Shantanu Chakrabartty; Subir Biswas; Rigoberto Burgueño

doi:10.1002/stc.2262

Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach

Hadi Salehi
, Saptarshi Das
, Shantanu Chakrabartty
, Subir Biswas
, Rigoberto Burgueño

Michigan State University
Washington University

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

Original language	English
Article number	e2262
Journal	Structural Control and Health Monitoring
Volume	25
Issue number	12
DOIs	https://doi.org/10.1002/stc.2262
State	Published - Dec 2018
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

Civil and Structural Engineering
Building and Construction
Mechanics of Materials

Keywords

damage detection
machine learning
matrix completion
pattern recognition
self-powered sensor
time-delayed binary data

Access to Document

10.1002/stc.2262License: Unspecified

Cite this

@article{4c46289ed2e54eabaf11dcaf2ce3b3ab,

title = "Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach",

keywords = "damage detection, machine learning, matrix completion, pattern recognition, self-powered sensor, time-delayed binary data",

author = "Hadi Salehi and Saptarshi Das and Shantanu Chakrabartty and Subir Biswas and Rigoberto Burgue{\~n}o",

note = "Publisher Copyright: {\textcopyright} 2018 John Wiley \& Sons, Ltd.",

year = "2018",

month = dec,

doi = "10.1002/stc.2262",

language = "English",

volume = "25",

journal = "Structural Control and Health Monitoring",

issn = "1545-2255",

number = "12",

}

TY - JOUR

T1 - Damage identification in aircraft structures with self-powered sensing technology

T2 - A machine learning approach

AU - Salehi, Hadi

AU - Das, Saptarshi

AU - Chakrabartty, Shantanu

AU - Biswas, Subir

AU - Burgueño, Rigoberto

PY - 2018/12

Y1 - 2018/12

KW - damage detection

KW - machine learning

KW - matrix completion

KW - pattern recognition

KW - self-powered sensor

KW - time-delayed binary data

UR - https://www.scopus.com/pages/publications/85053536366

UR - https://www.scopus.com/pages/publications/85053536366#tab=citedBy

U2 - 10.1002/stc.2262

DO - 10.1002/stc.2262

M3 - Article

SN - 1545-2255

VL - 25

JO - Structural Control and Health Monitoring

JF - Structural Control and Health Monitoring

IS - 12

M1 - e2262

ER -

Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this