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Unit-oriented aeroengine assembly and test-run linkage framework: A data-driven complex network approach
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DOI：10.1016/j.jmsy.2026.05.015.png)
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Abstract
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• The proposed framework built on real data, validated by maintenance records. • Network and dynamics models achieve ≤2% error, accurately show assembly quality. • Unit assembly quality assessment reduces defects at source for mass production. • Bayesian model links unit combinations to full-machine performance outcomes. • Closed-loop framework reduces failures and rework, supporting future industry.
Keywords:
Aeroengine
Aeroengine unit
Assembly quality
Test-run
Complex network
Resilience
Data-driven
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