no code implementations • 8 Feb 2024 • Akshay J. Dave, Tat Nghia Nguyen, Richard B. Vilim
This paper introduces an integrated system designed to enhance the explainability of fault diagnostics in complex systems, such as nuclear power plants, where operator understanding is critical for informed decision-making.
no code implementations • 23 Jan 2024 • Yixuan Sun, Sami Khairy, Richard B. Vilim, Rui Hu, Akshay J. Dave
In power plant control, one often needs to obtain a precise representation of the system dynamics and carefully design the control scheme accordingly.
no code implementations • 21 Sep 2023 • Akshay J. Dave, Richard B. Vilim
This work introduces Physics-informed State-space neural network Models (PSMs), a novel solution to achieving real-time optimization, flexibility, and fault tolerance in autonomous systems, particularly in transport-dominated systems such as chemical, biomedical, and power plants.
no code implementations • 9 Sep 2022 • Akshay J. Dave, Taeseung Lee, Roberto Ponciroli, Richard B. Vilim
The hierarchical control system consists of a supervisory layer and low-level layer.
no code implementations • 4 Feb 2022 • Akshay J. Dave, Haoyu Wang, Roberto Ponciroli, Richard B. Vilim
In this work, we focus on the specific problem of optimal control during autonomous operation.
1 code implementation • 30 May 2021 • Akshay J. Dave, Jiankai Yu, Jarod Wilson, Bren Phillips, Kaichao Sun, Benoit Forget
Findings from this work establish guidelines for developing empirical models for multidimensional regression of neutron transport.
1 code implementation • 10 Jul 2020 • Akshay J. Dave, Jarod Wilson, Kaichao Sun
The results indicate that neural networks are an appropriate choice for surrogate models to implement in an autonomous reactor control framework.
1 code implementation • 15 Mar 2020 • Akshay J. Dave, Annalisa Manera
The WMS is an experimental tool that records high-resolution high-frequency 3D void fraction distributions in gas-liquid flows.
Fluid Dynamics Computational Engineering, Finance, and Science