Patent ID: 11954566
Assignee: OKUMA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A data collection system for machine learning that collects teacher data or test data of a classification model that classifies a class by machine learning, the data collection system comprising:
a classification model storing unit that locates a plurality of learned classification models to be used in a user environment contained in a machine tool;
the user environment including a machining data obtaining unit for obtaining data during processing by the machine tool;
a machining data storing unit for recording processing data collected by the machine data obtaining unit;
a classification model storing unit for storing a learned classification model for determining a presence or absence and type of abnormality; and
a classification executing unit for determining the presence or absence of abnormality in processing of the machine tool using the learned classification model stored by the classification model storing unit;
wherein a determination result of the presence or absence of abnormality is transmitted to the machine tool to execute a control of machining by the machine tool; and
wherein the processing data recorded by the machining data storing unit is labeled and transmitted to the data collection system to be classified;
a model delivery unit that delivers the classification model to the user environment;
a classification result storing unit that classifies each of the classification models on the classification model storing unit using data with a label transmitted from the user environment as an input data, the classification result storing unit storing a classification result including at least one of classification correctness or a percentage of correct answers for each input data;
an optimum model recommendation unit that presents an appropriate classification model for the input data to the user environment based on the classification result for each of the classification models;
a recommendation model employment presence determining unit that detects whether the classification model presented by the optimum model recommendation unit is employed or not in the user environment; and
a teacher data recording unit that records the input data as teacher data or test data of the classification model when the recommendation model employment presence determining unit has determined that the classification model presented by the optimum model recommendation unit is employed.