Smart monitoring : uncovering anomalies in massive streaming time series data

Abstract

Anomaly detection has become a critical component of monitoring systems across various applications in the modern age of digital information and interconnected systems. From detecting infrastructure defects in civil engineering to identifying chemical hazards in environmental engineering, the ability to monitor and detect anomalies in streaming data has a significant impact on safety, efficiency, and operational continuity. With rapid advancements in data collection technology, it has become increasingly common for organizations to rely on sensors to monitor these systems.