Innovations from diverse disciplines including wireless communications, electronics, materials science, instrumentation, embedded software, machine learning, and packaging.

Predictive Maintenance technologies aim to detect, diagnose, and predict failures and degradation in machine components prior to criticality.  The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization.

A Digital Twin is a digital model of an industrial asset—like a jet engine or a wind turbine. They are built by continuously collecting data off physical and virtual sensors on the asset and analyzing the data to gain unique insights about performance and operation that drive business value and outcomes.