An Interpretable Data-Driven Framework for Smart Tunnel Boring Machine Performance Analysis and Energy–Cost Optimization

Tunnel Boring Machine (TBM) operations are governed by complex and nonlinear interactions among geological variability, machine control parameters, and energy consumption, posing significant challenges for reliable performance prediction and operational optimization. Conventional empirical and phys...

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Egile Nagusiak:	Chairul Salam, Arrina Khanifa
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Petra Christian University 2026-03-01
Saila:	Jurnal Teknik Industri
Gaiak:	Tunnel Boring Machine (TBM) data-driven modeling ensemble machine learning Explainable Artificial Intelligence (XAI) operational regime identification multi-objective optimization
Sarrera elektronikoa:	https://jurnalindustri.petra.ac.id/index.php/ind/article/view/32757
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