Method and system for causal inference and root cause identification in industrial processes

This invention is a computer program designed to diagnose problems in industrial equipment by analyzing sensor data. It uses advanced artificial intelligence, specifically deep learning, to create a map of cause-and-effect relationships over time, identifying the original source of a fault and how it spreads. The system learns these connections without needing prior knowledge of how the industrial process works, specifically using a deep neural network with encoding, time lag decomposition, and forecasting layers.