Smart plant monitoring with artificial intelligence


In modern production and manufacturing processes, data-driven use cases such as predictive maintenance are considered the key to higher efficiency and added value of production plants. Condition monitoring through the evaluation of current machine and sensor data is indispensable for the early identification of potential faults. Innovative analysis methods for the detection of deviating values (anomalies) are one step ahead of representatives of classic rule-based processes.



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