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A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
For fault diagnosis, a cost-sensitive deep belief network (namely ECS-DBN) is applied to deal with the imbalanced data problem for tool state estimation.
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