Renewable Source Protection Method for IBRs

Manufacturing, Sustainable Energy

This source-agnostic time domain distance relay uses only single-ended measurements to detect, classify, and locate any fault on the line it monitors while eliminating known weaknesses of distance relays. Recent advances in renewable energy technology allow several hundred megawatts of power to be in a single plant and connect to the electric grid through inverters. All major renewable resources, such…

Molten Core Flux Formation Method and Fibers Formed Therefrom

Advanced Materials, Manufacturing, Fiber and Films

Semiconductor optical fibers marry the enablement of modern electronic devices of semiconductors with the light-guiding capability of fiber optics. Combining these attributes allows for the desirable material properties of important semiconductor phases in the form of long lengths of fiber. Semiconductor optical fibers are made using one of two approaches: the molten core method and a chemical vapor deposition method….

Machine Learning Algorithm to Guide Cardiac Resynchronization Therapy Personalization

Biotechnology, Manufacturing

­This patient risk-assessment machine learning algorithm predicts patient response to cardiac resynchronization therapy (CRT) intervention enabling more informed selection criteria and improved rates of therapy success. Approximately 90,000 patients receive cardiac resynchronization therapy per year, with only 50% of that population benefitting. This directly results from the uncertainties surrounding which patients will actually benefit from the procedure. Providing insights into…

Topology Agnostic Detection and Location of Fault in DC Microgrid Using Local Measurements

Information and Communication, Manufacturing

This topology agnostic fault detection and location technology is the first such technology that is system-independent, uses only local measurements, and is closed form (non-iterative). Combining these attributes allows this technology to operate quickly to meet the needs of the growing DC microgrid market. This speed advantage bridges a major challenge for DC microgrids by protecting components from speed critical…

Purposeful Failure Methodology for Machinery


This failure methodology utilizes purposeful generation of labeled failure mode datasets via surrogate purposeful failure twin (SPFT) simulations. Machine learning powered performance analysis, predictive maintenance, and production management capable of reducing unexpected failure and unnecessary downtime are enabled via this innovation. This technology revolutionizes the manufacturing operations management (MOM) system market, which currently suffers from a gap in the availability…
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