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Propagation-Based Fault Detection and Sensor Optimization for Complex Industrial Systems
TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

Smart Liquid Crystal Sensor for Real-Time Shear Flow Visualization
TS-070520 — The Need Accurate, real-time mapping of shear forces in fluid environments remains a challenge, particularly in applications requiring passive, non-invasive, and long-term monitoring. Existing technologies often rely on active sensors that require power, are difficult to integrate into sensitive sys…
  • College: College of Engineering (COE)
  • Inventors: Wang, Xiaoguang "William"; Chen, Boyuan; Kara, Ufuoma; Weible, Alan
  • Licensing Officer: Randhawa, Davinder

A Model Based Assessment Approach and an Automation Environment for Qualification of Embedded Digital Devices
TS-042856 — A Framework and Automatization process designed to determine the functionality of Embedded Digital Devices.
As our technology becomes increasingly complex, so does the quantity and variation of the Embedded Digital Device [EDD] components that are required within the project. Because not every device is made perfectly to specifications due to a propagation of random error, it is important to have a dive…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

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