• 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