Michael Cavaretta on LinkedIn: #ai #ml #mlops #datascience

Lean principles in manufacturing are focused on reducing waste and lead times. Preventing unplanned equipment downtime to improve throughput is a key activity. There are two primary algorithms for analyzing equipment data - univariate and multivariate anomaly detection. Univariate anomaly detection focuses on analyzing the behavior of a single variable over time, for example, the temperature of a machine. It can be useful for detecting simple patterns of deviation from the normal behavior of a single variable and is relatively straightforward to implement and understand.