期刊
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
卷 67, 期 1, 页码 353-357出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNS.2019.2957979
关键词
Heavy-ion; power MOSFETs; probabilistic risk assessment; radiation hardness assurance (RHA) methodology; reliability estimation
资金
- NASA [80NSSC18K0721]
Variability of the solar energetic particle environment is investigated for single-event burnout (SEB) reliability of silicon carbide power metal-oxide-semiconductor field-effect transistors. A probabilistic assessment of failure evaluates the benefits of derating voltage, shielding, and mission length. The Prediction of Solar particle Yields for Characterizing Integrating Circuits code is used to calculate a cumulative density function for the fluence of the environment. The lethal ion method is then used to determine what proportion of the environment will cause SEB. The operating voltage determines the lowest linear energy transfer (LET) particle that will cause SEB, and that should be included in the environment distribution. The shielding and mission length also determines the final environment distribution of the mission fluence. When the critical LET for a device is relatively low for the expected mission environment, the method in this article can calculate the probability of failure from a destructive event. The calculated probability of failure enables the consideration of part use outside the safe operating area, especially when derating the operating voltage would eliminate the technology advantage of the part.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据