Timeseries Foundation Model for Anomaly Detection in Manufacturing Sensor Data
This study aims to develop a foundation model for anomaly detection in industrial data. Foundation models, trained on extensive datasets, have demonstrated remarkable success in fields such as natural language processing and image analysis, and there is growing interest in applying them to time-series data. However, ex...