With the constant pressure to increase plant efficiency and uptime in a highly competitive environment, condition-based maintenance and the optimization of the production processes become more and more important for a plant’s economic success.
Siemens Predictive Analytics (SiePA) is a practical and robust tool that integrates human experience/ know-how and machine learning capability to extract the relevant information on the equipment and process status.
The information is summarized in an intuitive graphical user interface, used mainly by plant operators and maintenance staff. Thanks to AI, process data from the plant can be used optimally: Not only to predict the risk of a process failure and to display warnings, but also to efficiently diagnose possible malfunctions. The best prerequisites for increasing the efficiency, availability and safety of operations to a level that would have been unthinkable just a short time ago.
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