Zhaofeng Zhen;Tao Ying;Xiaodong Xu;Jianqun Yang;Shangli Dong;Xingji Li
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引用次数: 0
Abstract
Awareness of the impact of component-level radiation response on the system is challenging. This article discusses the radiation response of a power supply system by combining the power converters’ radiation effects and the dynamic Bayesian network (DBN) model. The total ionizing dose (TID) effects, displacement damage (DD) effects, and single event effects (SEEs) of the power converters are studied by conducting Co-$60~\gamma $ -ray, protons, and heavy ion tests, respectively. Then, the possible fault propagation models in the power supply system are analyzed, and a DBN structure is constructed based on these models. The variations of each part in the power supply system during the mission time are predicted. Finally, the DBN model is verified through the irradiation test results of the power supply system.
期刊介绍:
The IEEE Transactions on Nuclear Science is a publication of the IEEE Nuclear and Plasma Sciences Society. It is viewed as the primary source of technical information in many of the areas it covers. As judged by JCR impact factor, TNS consistently ranks in the top five journals in the category of Nuclear Science & Technology. It has one of the higher immediacy indices, indicating that the information it publishes is viewed as timely, and has a relatively long citation half-life, indicating that the published information also is viewed as valuable for a number of years.
The IEEE Transactions on Nuclear Science is published bimonthly. Its scope includes all aspects of the theory and application of nuclear science and engineering. It focuses on instrumentation for the detection and measurement of ionizing radiation; particle accelerators and their controls; nuclear medicine and its application; effects of radiation on materials, components, and systems; reactor instrumentation and controls; and measurement of radiation in space.