Funded by DOD Airforce program, (UGA PI, $900K, 5/2020 – 5/2023)
Figure 6. Architecture
The goal of this project is to design an Electrical Waveform Fault and Attack Detection System (EWFADS). The goal of the system is to monitor the condition of manufacturing machines to detect faults and cyberattacks by analyzing the electrical waveforms of the electrical power connection to the machine at the point of common coupling. In Phase II the team will perform additional research and development to:
- Refine and expand comprehensive mathematics models; case studies for physical fault and cyber-attack scenarios.
- Refine features and machine learning (ML) algorithms for detection and diagnosis.
- Design and construct Hardware-In-The-Loop (HIL) real-time testbed and hardware Testbed.
- Testing, evaluation, and improvement of the developed detection and diagnosis algorithms.
Faculty:
- Jin Ye, WenZhan Song
Students:
- Bowen Yang, Stephen Coshatt, Yucheng Shi
Partners:
- James Hill, Aging Aircraft LLC