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

Claim 1:
2. 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, 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;
a classification result display unit that presents the classification correctness to a user while the classification result storing unit stores classification correctness for each of the input data as a classification result;
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; and
a teacher data recording unit that records the input data as teacher data or test data of the classification model;
a label correction unit that corrects a label of the input data, wherein
input data on which the correction result by the label correction unit is reflected is recorded in the teacher data recording unit.