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Pushing the Boundaries of Machinery Prognostics |
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Sentient Corporation
Idaho Office850 Energy Drive Suite 307, Office 428 Idaho Falls, ID 83401 P: (208) 522-8560 F: (208) 522-8639 Email Us |
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Sentient Corporation is a technology leader in the field of prognostics for military, aerospace, and industrial machinery. We conduct fundamental research on machine component failure and develop innovative software tools, embedded algorithms, and specialized sensing technologies to monitor the condition of critical systems. Our tools provide actionable data to maintainers and decision makers that help them minimize cost while maximizing performance, asset availability, and safety. Our philosophy is that the best prognostic technologies result from thorough knowledge of the physics behind component degradation and failure. Sentient maintains a significant physical testing and research program, including unique laboratory facilities for studying machine component degradation and failure. Sentient has particular expertise in rolling element bearings for industrial, aircraft propulsion, and space applications. We feature a large and growing library of data on bearing failure modes, fault signatures, and spall progression that is unmatched. This database, combined with our extensive experience developing innovative sensors, diagnostics, modeling, and prognostics for bearings, has made us the global technology leader in bearing health monitoring. Our expertise spans a wide range of mechanical and electromechanical systems, from industrial machinery all the way up to military turbine engines operating at 25,000 RPM. Nearly half of our technical staff hold PhD degrees, and most have extensive experience in military/aerospace prognostics. Our goals prevent failures, reduce maintenance, increase uptime, increase availability, and realize significant cost savings. Our solutions outperform traditional condition monitoring, provide accurate information and optimize maintenance practices. We are Sentient Corporation — Pushing the Boundaries of Machinery Prognostics.
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