How Unsupervised Machine Learning Benefits Industrial Automation

Predictive maintenance: Most industrial equipment is built to last and operate with minimal downtime. As a result, there is often limited historical data with which to work. Because unsupervised ML can detect anomalous behavior even in limited data sets, it can potentially identify developing defects in these situations. Here too, it can be used for fleet management, providing early warning of defects while minimizing the amount of data that needs to be reviewed. Quality assurance/inspection: A machine that's operating improperly can produce substandard product.