Applications of Machine Learning in Predictive Maintenance of Industry 4.0

The thesis develops machine learning algorithms for use in the Industry 4.0 concept. The main focus is on predictive maintenance and visual inspection. In the theoretical part, the thesis focuses on a literature search of machine learning methods in the field of anomaly detection in time series and image data. The practical part deals with the reimplementation of the selected methods and their evaluation using the confusion matrix and metrics based on i