Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network

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

doi:10.1115/SMASIS2017-3941

Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network

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

Michigan State University
Washington University in St. Louis

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

Original language	American English
Journal	ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
DOIs	https://doi.org/10.1115/SMASIS2017-3941
State	Published - Nov 2017
Externally published	Yes

UN SDGs

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

SDG 7 Affordable and Clean Energy

Disciplines

Civil Engineering
Structural Engineering

Access to Document

10.1115/SMASIS2017-3941License: Unspecified

Cite this

@article{58bcfad816e64a4cb67e00b1cc23c78c,

title = "Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network",

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

note = "Recent advances in energy harvesting technologies have led to the development of self-powered monitoring techniques that are energy-efficient. This study presents an intelligent damage identification strategy for plate-like structures based on the data provided by a network of self-powered sensors that communicate through a pulse switching protocol, which has been demonstrated as an effective means for minimizing communication energy demands.",

year = "2017",

month = nov,

doi = "10.1115/SMASIS2017-3941",

language = "American English",

journal = "ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems",

}

TY - JOUR

T1 - Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network

AU - Salehi, Hadi

AU - Burgueño, Rigoberto

AU - das, Saptarshi

AU - Biswas, Subir

AU - Chakrabartty, Shantanu

N1 - Recent advances in energy harvesting technologies have led to the development of self-powered monitoring techniques that are energy-efficient. This study presents an intelligent damage identification strategy for plate-like structures based on the data provided by a network of self-powered sensors that communicate through a pulse switching protocol, which has been demonstrated as an effective means for minimizing communication energy demands.

PY - 2017/11

Y1 - 2017/11

UR - https://asmedigitalcollection.asme.org/SMASIS/proceedings-abstract/SMASIS2017/V002T05A008/286294

U2 - 10.1115/SMASIS2017-3941

DO - 10.1115/SMASIS2017-3941

M3 - Article

JO - ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems

JF - ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems

ER -

Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network

UN SDGs

Disciplines

Access to Document

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Cite this