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Focusing on the limitations of current modeling technologies for complex systems, this work offers innovative methods for describing space systems. It emphasizes automation in deriving critical knowledge about design elements, evaluating test outcomes, and pinpointing potential failure points. By enhancing the understanding of these systems, it aims to improve reliability and efficiency in aerospace and infrastructure applications.
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From Data Modeling to Knowledge Engineering in Space System Design, Christian Hennig
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- Released
- 2018
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- (Paperback)
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