SYSTEM AND METHOD FOR EQUIPMENT ABNORMALITY DIAGNOSIS BASED ON MULTIPLE TRANSFER ACTIVE LEARNING

摘要

The present invention relates to a system and method for diagnosing equipment abnormalities based on multiple transference active learning. The multiple-transition active learning-based facility abnormality diagnosis system according to the present invention includes an abnormality diagnosis module for reviewing collected data to check whether there is an abnormality, and a multiple-transition module and active learning model for generating a plurality of active learning models using the abnormality diagnosis module and a labeling module for performing a labeling operation by presenting the extracted label request data using