15 citations · 39 across the 9 of their papers we have counts for
9 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…
Advanced Transient Diagnostic with Ensemble Digital Twin Modeling
Edward Chen, Linyu Lin, Nam T. Dinh
The use of machine learning (ML) model as digital-twins for reduced-order-modeling (ROM) in lieu of system codes has grown traction over the past few years. However, due to the com…
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…
Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part II
Arsen S. Iskhakov, Nam T. Dinh
The work is a continuation of a paper by Iskhakov A.S. and Dinh N.T. "Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations". Part I // arX…
Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part I
Arsen S. Iskhakov, Nam T. Dinh
In this paper the physics- (or PDE-) integrated machine learning (ML) framework is investigated. The Navier-Stokes (NS) equations are solved using Tensorflow library for Python via…