SAM Guard Machine Learning Helps Bridge the Gaps Between Data and Predictive Maintenance, TAPPICon22

SAMSON'S SAM Guard solution uses Industry 4.0 principles of big data and machine learning to produce a small number of targeted alerts every day. The system learns which anomalies could be serious and which are simply background noise, and filters out those which are not critical to reduce the number of alerts from hundreds per day down to a handful.

It’s quick to implement, taking just 2 weeks to become operational, making it an ideal way to tap into Industry 4.0 practices quickly and at a reasonable budget. By offering predictive maintenance as a service, with analytical monitoring engineers on site or working remotely to enable the predictive maintenance, SAM Guard makes it accessible even to plants which aren’t yet in a position to implement a digital culture that can run such a solution independently. 

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