• DocumentCode
    2319956
  • Title

    New sensor technologies in aircraft structural health monitoring

  • Author

    Shang Bo-lin ; Song Bi-feng ; Chang Fei

  • Author_Institution
    Coll. of Aeronaut., Northwestern Polytech. Univ., Xi´an
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    701
  • Lastpage
    704
  • Abstract
    The traditional nondestructive testing (NDT) method contributes greatly to aircraft structural safety and reliability. However, it also significantly increases operating expense, or leads to the decrease of the aircraftpsilas runtime because of the disassemble and reassemble of structural components. Aircraft structural health monitoring (SHM) is a new in-situ, online structure detection method which was developed on the basis of the traditional NDT method. It can increase the reliability, safety and runtime of aircrafts while reduce the structurepsilas operating and maintenance costs. This paper describes this new technology and introduces the principles and applications of some new sensor technologies in aircraft structural health monitoring, the candidate SHM sensor technologies including optical fiber sensors, piezoelectric sensors, MEMS sensors, wireless sensing systems etc. The paper will finish with a perspective for further research in this field.
  • Keywords
    aircraft maintenance; condition monitoring; fibre optic sensors; microsensors; nondestructive testing; piezoelectric transducers; reliability; safety; MEMS sensors; aircraft structural health monitoring; aircraft structural safety-reliability; nondestructive testing; online structure detection method; optical fiber sensors; piezoelectric sensors; sensor technologies; wireless sensing systems; Air safety; Aircraft; Maintenance; Monitoring; Nondestructive testing; Optical fiber sensors; Optical sensors; Runtime; Sensor phenomena and characterization; Sensor systems and applications; aircraft; sensors; structural health monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580381
  • Filename
    4580381