Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
A robot's abnormal condition can be detected early via data comparison, so a high-speed equipment monitoring solution must be able to acquire analog signals at the rate of 1000 signals per second. Then the collected signals need to be delivered to the control room for monitoring management and data analysis.
The latest in automated lubrication systems ensure optimum equipment performance, even in harsh plant environments, and reduce unscheduled maintenance. Corrosive plant environments are among the most serious threats to many industries today, contributing to extensive production downtime and exorbitant maintenance costs.
The automation and collection of information that's available from machine to machine communication enables manufacturers to transition from corrective to preventive maintenance and ultimately to predictive technologies which rely on more information and data collection.
Imagine production without the oppressive costs and time requirements of tooling. Make changes quickly and affordably - at any stage in the production cycle. Create low-volume assembly fixtures and jigs directly from CAD data. Additive manufacturing is where the world is going, and nothing will get you there faster than the truly transformative 3D production systems from Stratasys.