Data-Driven Sparse Reconstruction Framework for Anomaly Detection in Smart Manufacturing Environment
Reliable anomaly detection of sensor measurements is essential for monitoring complex systems in smart manufacturing environments. However, conventional approaches often require predefined statistical assumptions or explicit knowledge of physical measurement models. Therefore, a data-driven sparse reconstruction framew...