46 citations · 65 across the 13 of their papers we have counts for
13 papers
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems
Edward Chen, Han Bao, Nam Dinh
In recent years, the field of data-driven neural network-based machine learning (ML) algorithms has grown significantly and spurred research in its applicability to instrumentation…
Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip
Edward Chen, Han Bao, Tate Shorthill +2
Human-system interface is one of the key advanced design features applied to modern digital instrumentation and control systems of nuclear power plants. The conventional design is…
An Application of a Modified Beta Factor Method for the Analysis of Software Common Cause Failures
Tate Shorthill, Han Bao, Edward Chen +1
This paper presents an approach for modeling software common cause failures (CCFs) within digital instrumentation and control (I&C) systems. CCFs consist of a concurrent failure be…
Application of Orthogonal Defect Classification for Software Reliability Analysis
Edward Chen, Han Bao, Tate Shorthill +3
The modernization of existing and new nuclear power plants with digital instrumentation and control systems (DI&C) is a recent and highly trending topic. However, there lacks stron…
Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA
Edward Chen, Han Bao, Tate Shorthill +2
In recent years, there has been considerable effort to modernize existing and new nuclear power plants with digital instrumentation and control systems. However, there has also bee…
Quantitative Evaluation of Common Cause Failures in High Safety-significant Safety-related Digital Instrumentation and Control Systems in Nuclear Power Plants
Han Bao, Hongbin Zhang, Tate Shorthill +2
Digital instrumentation and control (DIC) systems at nuclear power plants (NPPs) have many advantages over analog systems. They are proven to be more reliable, cheaper, and easier…
An Integrated Risk Assessment Process of Safety-Related Digital I&C Systems in Nuclear Power Plants
Hongbin Zhang, Han Bao, Tate Shorthill +1
Upgrading the existing analog instrumentation and control (IC) systems to state-of-the-art digital IC (DIC) systems will greatly benefit existing light-water reactors (LWRs). Howev…
Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review
Linyu Lin, Han Bao, Nam Dinh
A nearly autonomous management and control (NAMAC) system is designed to furnish recommendations to operators for achieving particular goals based on NAMAC's knowledge base. As a c…
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data
Han Bao, Jinyong Feng, Nam Dinh +1
Multiphase flow phenomena have been widely observed in the industrial applications, yet it remains a challenging unsolved problem. Three-dimensional computational fluid dynamics (C…
A Redundancy-Guided Approach for the Hazard Analysis of Digital Instrumentation and Control Systems in Advanced Nuclear Power Plants
Tate Shorthill, Han Bao, Hongbin Zhang +1
Digital instrumentation and control (I&C) upgrades are a vital research area for nuclear industry. Despite their performance benefits, deployment of digital I&C in nuclear power pl…
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation
Han Bao, Nam Dinh, Linyu Lin +3
Current system thermal-hydraulic codes have limited credibility in simulating real plant conditions, especially when the geometry and boundary conditions are extrapolated beyond th…
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
Han Bao, Jinyong Feng, Nam Dinh +1
To realize efficient computational fluid dynamics (CFD) prediction of two-phase flow, a multi-scale framework was proposed in this paper by applying a physics-guided data-driven ap…
A Data-driven Framework for Error Estimation and Mesh-Model Optimization in System-level Thermal-Hydraulic Simulation
Han Bao, Nam Dinh, Jeffrey Lane +1
Over the past decades, several computer codes were developed for simulation and analysis of thermal-hydraulics of system behaviors in nuclear reactors under operating, abnormal tra…