Implementation with Vibration Analysis
Vibration Analysis online monitoring lends itself well to machine learning as a result of the large data sets that are able to be analyzed. The two different types of online monitoring systems deploy very different types of Machine Learning though.
Online surveillance systems like the Phantom that are by definition a reconnaissance or surveillance type system typically deploy semi-supervised machine learning protocols. They require some specialized knowledge to identify exceptions within data sets and supervision to insure the accuracy of the analysis and actions taken by the learning system. The more data that has been reviewed and action-ed on by the system the more reliable the system becomes.
Online protection systems like API 670 compliant protection systems typically deploy reinforced machine learning protocols. An action is taken based on the data that is then is rewarded by the system. An example of this philosophy would be a proximity probe system exceeding the allowable displacement tolerances and shutting the machine down. The reward in this case is the system is saved from catastrophic and typically expensive failure.