Predictive Maintenance for Mechanical Systems and Pipelines
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DiagSense has developed a statistical algorithm designed to detect evolving malfunctions in mechanical systems and pipelines before they become a problem. DiagSense acquires data from sensors and controllers and then learns, analyzes, and makes decisions about abnormalities in the entire mechanical system. One of the applications is predicting energy consumption in factories.