DocumentCode
590588
Title
Bio-inspired intelligent sensing materials for fly-by-feel autonomous vehicles
Author
Salowitz, Nathan ; Zhiqiang Guo ; Sang-Jong Kim ; Yu-Hung Li ; Lanzara, Giovanni ; Fu-Kuo Chang
Author_Institution
Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
fYear
2012
fDate
28-31 Oct. 2012
Firstpage
1
Lastpage
3
Abstract
Structural health monitoring (SHM) is a technology that provides automated inspection for assessing and evaluating the health condition of structures. Recently SHM has attracted significant attention in the aerospace and civil infrastructure industries because of its potential to improve operational efficiency, reduce maintenance costs, and enhance the structural reliability in a real-time operation basis. SHM is developing to include multiple types of sensors and even onboard processing for diagnostic and decision making. Advanced manufacturing technologies are utilized enabling integration of sensors, network hardware, and processors into structures with minimal parasitic effects. This is precisely the foundation for developing `intelligent structures´. This presentation will highlight recent progress of SHM technologies toward creating intelligent structures at Stanford University and also focus on technical challenges in three areas: quantification, validation, and implementation. SHM is involved with not only multidisciplinary engineering fields, but also a paradigm change in design, manufacturing, and maintenance of structures. Successful implementation of SHM will require a close collaborative effort among academia, government and industry.
Keywords
condition monitoring; cost reduction; decision making; inspection; intelligent materials; intelligent sensors; intelligent structures; maintenance engineering; reliability; structural engineering computing; SHM; advanced manufacturing technology; aerospace industry; automated condition inspection; bioinspired intelligent sensing material; civil infrastructure industry; decision making; fly-by-feel autonomous vehicle; intelligent sensor; intelligent structure; maintenance cost reduction; structural health monitoring; structural reliability; Chemical sensors; Monitoring; Strain; Substrates; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2012 IEEE
Conference_Location
Taipei
ISSN
1930-0395
Print_ISBN
978-1-4577-1766-6
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2012.6411534
Filename
6411534
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