Novel Fault Detection and Diagnostics Approach for Robust Design and Reliable Operation of Critical Cooling Infrastructure in Data Centers

Sponsored by National Science Foundation (2025 – 2028)

GED

Project Description

This project develops advanced fault detection and diagnostics (FDD) methods to make data center cooling systems more resilient against equipment failures and cyber-attacks. By combining event-driven supervisory control with physics-based modeling, we create open-source and hardware-in-the-loop testbeds to validate new solutions. The goal is to enable reliable, energy-efficient, and attack-resilient cooling infrastructure that supports the growing demands of AI and cloud computing.

Project Team

Pennsylvania State University

Rômulo Meira-Goes, Ph.D.

Rômulo Meira-Goes, Ph.D.

Department of Electrical Engineering Penn State University, United States

Wangda Zuo, Ph.D.

Wangda Zuo, Ph.D.

Department of Architectural Engineering, Penn State University, United States

Viswanathan Ganesh

Viswanathan Ganesh

Department of Architectural Engineering, Penn State University, United States

Hongjun Li

Hongjun Li

Department of Architectural Engineering, Penn State University, United States

Woohyoung Lee

Woohyoung Lee

Department of Architectural Engineering, Penn State University, United States

Michael Maloney

Michael Maloney

Department of Architectural Engineering, Penn State University, United States

Oklahoma State University

Ardeshir Moftakhari, Ph.D.

Ardeshir Moftakhari, Ph.D.

Department of Mechanical and Aerospace Engineering, Oklahoma State University

Park Jun Kyu

Park Jun Kyu

Department of Mechanical and Aerospace Engineering, Oklahoma State University

jun.park@okstate.edu

 

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