System Prognosis and Health Management
We are enabling self-aware, self-adaptive systems that manage themselves autonomously.
Reliability is critical to today’s infrastructure systems – be it trains, HVAC, or smart manufacturing. But as budgets continue to be stretched, maintenance, operations, manufacturing, and design teams must find ways to maximize system life without compromising safety and operational uptime.
Our MOXI™ IIoT System Analytics solution empowers engineers, operators, and maintenance personnel to manage and improve the health and reliability of critical systems across a broad range of industries. With a strong foundation in model-based methods to facilitate potent first-principle representations of systems, We enable high-accuracy (greater than 90%) reliability, low false alarm rates and relevant field-deployable solutions. Our cross-disciplinary technology suite includes software and hardware that leverage our key skills – sensing, modeling, diagnostics, machine learning, predictive analytics, rapid prototyping, and artificial intelligence capabilities – as well as our patent portfolio.
In the area of system prognosis and health management, we are working towards enabling a world in which self-aware, self-adaptive systems manage themselves autonomously with minimal human intervention, therefore taking system performance, maintenance, and reliability to new levels.