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Apparatus and method for predicting product condition by using datamining in manufacturing process
Apparatus and method for predicting product condition by using datamining in manufacturing process
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机译：通过在制造过程中使用数据挖掘来预测产品状态的设备和方法
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摘要
The present invention relates to an apparatus and method for predicting product conditions by using data mining in the production process, which are capable of stochastically predicting a quality result of the product from causes affecting a product production result in the production process. The method includes: receiving process factors corresponding to causes affecting quality in the production process and quality variables on good products and defective products corresponding to results for the process factors to generate ontology indicating the relationship between the process factors and the quality; determining desired observation points on the basis of the generated ontology, and receiving observation coordinates and measurement data of the process factors at each observation point in real time through the production process; linearly separating non-linear values from the received observation coordinates and measurement data, and performing SVM learning based on the divided linear values; predicting the current process state from an SVM learning resu calculating an optimal process factor based on the current measurement data from the ontology and history data by using an HMM; and inducing a change in the process by providing a user with the calculated optimal process factor.
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