Industrial Low-Quality Data Augmentation and Representation Methods

In this chapter addresses common low-quality data issues in industrial production, focusing on enhanced characterization modeling methods for industrial low-quality data, including enhanced characterization modeling methods for unlabeled data, enhanced characterization modeling methods for unbalanced data, enhanced characterization modeling methods for missing data, and enhanced characterization modeling methods for low-quality data. It introduces how to deal with low-quality data and improve the quality of the data through advanced techniques, so as to ensure that reliable results can be obtained in modeling and decision-making processes. Practical examples are given to help the reader better understand and apply these methods.