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Innovative Reliability Modelling and Validation Methods with Digital Twin, Artificial Intelligence and Big Model for Potential Use in Space Related Industries
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作者 Cheng Qian Yi Ren +3 位作者 Dariusz Mazurkiewicz Bernardo Tormos He Li Jiajie Fan 《Space(Science & Technology)》 2025年第1期1-3,共3页
Reliability has long been recognized as a cornerstone in addressing production quality issues across various space related industries.As space equipment becomes increasingly complex,intelligent,and multifunctional,tra... Reliability has long been recognized as a cornerstone in addressing production quality issues across various space related industries.As space equipment becomes increasingly complex,intelligent,and multifunctional,traditional reliability approaches are facing rapidly growing challenges.Fortunately,modern technologies such as digital twins,artificial intelligence(AI),and big models have ushered in a new era of reliability research.These technologies have already been widely applied in diverse space related fields,including satellite networks[1],space medicine and astrobiology[2],trajectory design and optimization[3],orbit determination[4],and adaptive control[5]. 展开更多
关键词 big models space equipment space related innovative reliability modelling validation methods artificial intelligence digital twin digital twinsartificial intelligence ai
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