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Machinability Diagnostic Method based on Machine Learning for Optimizing Manufacturing System
Machinability Diagnostic Method based on Machine Learning for Optimizing Manufacturing System
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机译:基于机器学习的可加工性诊断方法优化制造系统
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摘要
The method for diagnosing workability based on learning for optimizing a production system according to the present invention includes steps (a) of collecting basic processing information required for processing, step (b) of processing the basic processing information, and step (b). (C) step of deriving a plurality of integrated data sets for each processing experiment condition by reflecting the processing tool information in the basic processing information processed by the process, and a plurality of parameter sets by combining at least some of the plurality of cutting condition parameters that affect the cutting force. (D) of deriving, step (e) of deriving a plurality of combination data by selecting and combining any one of the plurality of integrated data sets and one of the plurality of parameter sets, and the accuracy of the plurality of combination data Step (f) of verifying, step (g) of extracting representatively selected combination data from among the plurality of combination data whose accuracy is verified by the step (f), and under preset conditions based on the optimal combination data It includes (h) step of diagnosing processability.
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