• DocumentCode
    3469834
  • Title

    Reliability assessment from degradation data

  • Author

    Crk, Vladimir

  • Author_Institution
    Dept. of Sensing & Control, Honeywell, Freeport, IL, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    155
  • Lastpage
    161
  • Abstract
    The importance of degradation analysis as a method of assessing the reliability of highly reliable components and systems constantly increases due to the continuous efforts of the manufacturers to produce more and more reliable products. The presented methodology is an effective way to estimate the system´s reliability by monitoring performance degradation. Its advantage is that the times to failure are not directly observed but the degradation that can be accurately measured. Consequently, the test time can be significantly shorter than if the times to failure are recorded
  • Keywords
    Monte Carlo methods; failure analysis; product development; reliability; degradation analysis; degradation data; highly reliable components; performance degradation monitoring; product reliability; reliability assessment; test time reduction; times to failure; Condition monitoring; Control systems; Degradation; Electronic switching systems; Failure analysis; Gaussian distribution; Life estimation; Life testing; Manufacturing; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 2000. Proceedings. Annual
  • Conference_Location
    Los Angeles, CA
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-5848-1
  • Type

    conf

  • DOI
    10.1109/RAMS.2000.816300
  • Filename
    816300