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

Journal Article · · IEEE Transactions on Industry Applications
 [1];  [2];  [2];  [3]
  1. Univ. of Tennessee, Knoxville, TN (United States). Department of Electrical Engineering and Computer Science
  2. Univ. of Tennessee, Knoxville, TN (United States). Department of Electrical Engineering and Computer Science; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Power Electronics and Electric Machinery Research Group (PEEMRG)
  3. Universidade Federal de Mato Grosso do Sul (Brazil). Department of Electrical Engineering
+ Show Author Affiliations
Rainflow algorithms are one of the popular counting methods used in fatigue and failure analysis in conjunction with semiconductor lifetime estimation models. However, the rain-flow 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. In conclusion, the degradation in the life of the IGBT power device is predicted based on time-dependent temperature calculation.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Power Electronics and Electric Machinery Research Facility
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1327629
Journal Information:
IEEE Transactions on Industry Applications, Journal Name: IEEE Transactions on Industry Applications Journal Issue: 4 Vol. 51; ISSN 0093-9994
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

36 MATERIALS SCIENCE
97 MATHEMATICS AND COMPUTING
Cycle counting
STATCOM
lifetime estimation
power semiconductor reliability
rainflow algorithms