• DocumentCode
    81179
  • Title

    Rainflow Algorithm-Based Lifetime Estimation of Power Semiconductors in Utility Applications

  • Author

    Reddy Gopi Reddy, Lakshmi ; Tolbert, Leon M. ; Ozpineci, Burak ; Pinto, Joao O. P.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
  • Volume
    51
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    3368
  • Lastpage
    3375
  • Abstract
    Rainflow algorithms are one of the popular counting methods used in fatigue and failure analysis in conjunction with semiconductor lifetime estimation models. However, the rainflow algorithm used in power semiconductor reliability does not consider the time-dependent mean temperature calculation. The equivalent temperature calculation proposed by Nagode et al. is applied to semiconductor lifetime estimation in this paper. A month-long arc furnace load profile is used as a test profile to estimate temperatures in insulated-gate bipolar transistors (IGBTs) in a STATCOM for reactive compensation of load. The degradation in the life of the IGBT power device is predicted based on time-dependent temperature calculation.
  • Keywords
    estimation theory; failure analysis; fatigue; insulated gate bipolar transistors; life testing; power semiconductor devices; semiconductor device reliability; static VAr compensators; IGBT; STATCOM; arc furnace load profile; counting methods; failure analysis; fatigue analysis; insulated-gate bipolar transistors; load reactive compensation; power semiconductor reliability; rainflow algorithm; semiconductor lifetime estimation models; time-dependent mean temperature calculation; Estimation; Insulated gate bipolar transistors; Reactive power; Reliability; Strain; Temperature dependence; Temperature distribution; Cycle counting; STATCOM; lifetime estimation; power semiconductor reliability; rainflow algorithms;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2015.2407055
  • Filename
    7050286