Some take the reliability of critical equipment and systems for granted, but those tasked with keeping them operational are keenly aware of the threats. Because there are so many potential risks and faults to manage, advanced condition monitoring and analytics are needed to hold them at bay. The Tignis solution can detect a minimum of eight different types of errors or unfavorable conditions, enabling a comprehensive path to reliability and optimization for connected industrial systems.
While most plants do not have the necessary data to immediately start utilizing supervised ML, many plants have collected at least a few months of historical sensor data. With this data, here are examples of classes of faults that Tignis can detect using anomaly detection and engineering principles:
Staying on top of all the possible threats is easier with an intelligent, physics-driven condition monitoring and analytics solution. There is no better way to keep your critical assets running reliably and help your company consistently meet its performance objectives.