Power semiconductor devices experience thermal fatigue from repetitive junction temperature cycling, critically impacting reliability. Fuji presents an Arrhenius-based lifetime prediction methodology with temperature-dependent interpolation for arbitrary operating conditions. The method generates accurate lifetime curves from limited standard test data, overcoming conventional methods limitations at intermediate temperatures. This enables optimized thermal management, reduced design margins, and enhanced reliability prediction for power electronic systems.
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