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Data-driven soft sensor development for ore type estimation in mineral crushing processes
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DOI：10.1016/j.engappai.2026.113755.png)
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Abstract
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• Soft sensor estimates real-time lithology distributions in crushing circuits. • Soft labels model geological uncertainty, replacing unreliable hard labels. • Teacher–student setup: RF generates soft labels; regressors learn distributions.
Keywords:
Lithology
Crusher circuit
Soft label
Mining engineering
Machine learning
Soft sensor
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