• DocumentCode
    3159926
  • Title

    Estimation of Fatigue Life Using Ultrasonic Sensing: A Symbolic Dynamics Approach

  • Author

    Gupta, Shalabh ; Ray, Asok

  • Author_Institution
    Pennsylvania State Univ., University Park
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    1149
  • Lastpage
    1154
  • Abstract
    The paper addresses the issues of diagnosis and prognosis of fatigue failure in mechanical systems using symbolic time series analysis (STSA) of ultrasonic sensor data. Specifically, the paper presents a statistical analysis procedure for online estimation of remaining fatigue life in polycrystalline alloys using STSA-based information from an ensemble of fatigue experiments. This real-time information is useful for monitoring the evolving fatigue damage and life extending control of mechanical structures for prevention of widespread failures. The concept is experimentally validated on 7075-T6 aluminum alloy specimens on a special-purpose fatigue test apparatus that is equipped with ultrasonic flaw detectors and an optical travelling microscope.
  • Keywords
    aluminium alloys; fatigue; fatigue testing; flaw detection; remaining life assessment; structural engineering; time series; ultrasonic transducers; fatigue failure; fatigue life estimation; life extending control; mechanical structures; mechanical systems; online estimation; optical travelling microscope; polycrystalline alloys; statistical analysis; symbolic dynamics approach; symbolic time series analysis; ultrasonic flaw detectors; ultrasonic sensing; Condition monitoring; Failure analysis; Fatigue; Life estimation; Mechanical sensors; Mechanical systems; Optical microscopy; Sensor systems; Statistical analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2007. ACC '07
  • Conference_Location
    New York, NY
  • ISSN
    0743-1619
  • Print_ISBN
    1-4244-0988-8
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2007.4282229
  • Filename
    4282229