V. K. Nassa

Data-driven fault detection and diagnosis in automated manufacturing systems

Data-driven methods, in contrast to traditional reactive ones, make use of continuous sensor data streams to anticipate anomalies before they can result in critical failures using advanced analytics, thereby improving responsiveness and efficiency in the system.