Predicting the Unpredictable: Anomaly Detection for Predictive Maintenance Predictive maintenance, once relegated to the realm of science fiction, is now an indispensable component of modern industrial operations. The shift from reactive to proactive maintenance strategies is largely fueled by advancements in time series anomaly detection, a field that leverages machine learning for anomaly detection to
