Predictive maintenance has often been hailed as one of the most immediate and effective uses for machine learning, and big promises have been made regarding its capabilities. However, it’s been slow to take off in practice. Even with falling prices on intelligent sensors allowing manufacturers to collect and transmit the various types of data such as temperature and vibration needed to drive the development of predictive maintenance programs, properly deriving actionable insights from that data without domain experts and on-site data analysts has proven more difficult than initially imagined. Unfortunately, when operators and plant managers can’t properly leverage this value, their industrial internet of things (IIoT) investments may not produce an ideal return on investment (ROI).
TALLAHASSEE, FL – Advanced Manufacturing International (AMI) has been awarded a $2M grant