Mizzou Engineer Researching Predictive Maintenance with Aid of Machine Learning
Failing equipment, whether a dead car battery or paper jam, can ruin your day and alter your plans. Or a manufacturer’s production line fails for an unknown reason, causing delays in production, shipping and sales. Currently, there is very little to no warning given to address these problematic issues before they happen. However, Kangwon Seo, an assistant professor in industrial and manufacturing systems engineering with a joint appointment in statistics, is researching how machines can use predictive maintenance themselves to detect when they are going to fail.