Innovative Reliability Modelling and Validation Methods with Digital Twin, Artificial Intelligence and Big Model for Potential Use in Space Related Industries

Cheng Qian; Yi Ren; Dariusz Mazurkiewicz; Bernardo Tormos; He Li; Jiajie Fan

doi:10.34133/space.0415

Innovative Reliability Modelling and Validation Methods with Digital Twin, Artificial Intelligence and Big Model for Potential Use in Space Related Industries

Cheng Qian^*
, Yi Ren
, Dariusz Mazurkiewicz
, Bernardo Tormos
, He Li
, Jiajie Fan

^*Corresponding author for this work

School of Reliability and Systems Engineering

Lublin University of Technology
Polytechnic University of Valencia
University of Lisbon
Fudan University

Research output: Contribution to journal › Editorial

Original language	English
Article number	0415
Journal	Space: Science and Technology (United States)
Volume	5
DOIs	https://doi.org/10.34133/space.0415
State	Published - 2025

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10.34133/space.0415

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title = "Innovative Reliability Modelling and Validation Methods with Digital Twin, Artificial Intelligence and Big Model for Potential Use in Space Related Industries",

author = "Cheng Qian and Yi Ren and Dariusz Mazurkiewicz and Bernardo Tormos and He Li and Jiajie Fan",

year = "2025",

doi = "10.34133/space.0415",

language = "英语",

volume = "5",

journal = "Space: Science and Technology (United States)",

issn = "2692-7659",

publisher = "American Association for the Advancement of Science",

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AU - Qian, Cheng

AU - Ren, Yi

AU - Mazurkiewicz, Dariusz

AU - Tormos, Bernardo

AU - Li, He

AU - Fan, Jiajie

PY - 2025

Y1 - 2025

UR - https://www.scopus.com/pages/publications/105026503879

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DO - 10.34133/space.0415

M3 - 社论

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JO - Space: Science and Technology (United States)

JF - Space: Science and Technology (United States)

M1 - 0415

ER -

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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