• DocumentCode
    1435179
  • Title

    A Wireless Sensor System for Prognostics and Health Management

  • Author

    Cheng, Shunfeng ; Tom, Kwok ; Thomas, Larry ; Pecht, Michael

  • Author_Institution
    Prognostics & Health Manage. Lab., Univ. of Maryland, College Park, MD, USA
  • Volume
    10
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    856
  • Lastpage
    862
  • Abstract
    This paper introduces a novel radio-frequency-based wireless sensor system and describes its prognostics and health management functions. The wireless sensor system includes a radio frequency identification sensor tag, a wireless reader, and diagnostic-prognostic software. The software uses the sequential probability ratio test with a cross-validation procedure to detect anomalies, assess degradation, and predict failures. The prognostic performance of the sensor system is demonstrated by a field application.
  • Keywords
    biological effects of fields; radiofrequency identification; wireless sensor networks; anomaly detection; cross-validation procedure; diagnostic-prognostic software; health management; prognostics; radio frequency identification sensor tag; radiofrequency-based wireless sensor system; sequential probability ratio test; wireless reader; wireless sensor system; Condition monitoring; Degradation; Failure analysis; Management training; Prognostics and health management; Radiofrequency identification; Sensor systems; Sequential analysis; Technology management; Wireless sensor networks; Cross-validation; prognostics and health management (PHM); radio frequency identification (RFID); sequential probability ratio test (SPRT); wireless sensor system;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2035817
  • Filename
    5427266