WSU researchers are working to optimize maintenance planning and reduce failures through stamping tool failure prediction using machine learning algorithms to predict when a machine or equipment is likely to fail or experience a breakdown. By analyzing historical data and identifying patterns and indicators, this failure prediction system can provide early warnings or alerts, enabling proactive maintenance and minimizing downtime.
