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View article: Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data
Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data Open
Chatter, a self-excited vibration phenomenon, is a critical challenge in high-speed machining operations, affecting tool life, product surface quality, and overall process efficiency. While machine learning models trained on simulated data…
View article: System-level Prognostics and Health Management for Complex Industrial Systems
System-level Prognostics and Health Management for Complex Industrial Systems Open
Prognostics and health management (PHM) has become essential to guarantee aware and safe system operation and to inform economic decision-making. However, due to the nature of detection, diagnostics, and prognostic methods, applications ha…
View article: Data-Driven Remaining Useful Life Estimation
Data-Driven Remaining Useful Life Estimation Open
This paper explores the development and application of data-driven prognostic models for estimating the Remaining Useful Life (RUL) of Nuclear Power Plant (NPP) condensers experiencing tube fouling. Due to the unavailability of run-to-fail…
View article: Online and Offline Fault Detection and Diagnostics in a Nuclear Power Plant Condenser
Online and Offline Fault Detection and Diagnostics in a Nuclear Power Plant Condenser Open
Nuclear power plants (NPPs) face significant financial pressures due to operational and maintenance costs. This research investigates Fault Detection and Diagnostics (FDD) techniques to optimize maintenance schedules and reduce expenses. T…
View article: Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data
Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data Open
Chatter, a self-excited vibration phenomenon, is a critical challenge in high-speed machining operations, affecting tool life, surface quality, and overall process efficiency. While ML models trained on simulated data have shown promise in…
View article: A New Development of Cross-Correlation-Based Flow Estimation Validated and Optimized by CFD Simulation
A New Development of Cross-Correlation-Based Flow Estimation Validated and Optimized by CFD Simulation Open
The accurate measurement of mass flow rates is important in nuclear power plants. Flow meters have been invented and widely applied in several industries; however, the operating environment in advanced nuclear power plants is especially ha…
View article: Uncertainty-Aware and Explainable Human Error Detection in the Operation of Nuclear Power Plants
Uncertainty-Aware and Explainable Human Error Detection in the Operation of Nuclear Power Plants Open
The timely and accurate identification of incidents, such as human factor error, is important to restore nuclear power plants (NPPs) to a stable state. However, the identification of abnormal operating conditions is difficult because of th…
View article: Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives
Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives Open
This paper explores the optimization of fault detection and diagnostics (FDD) in the Control Rod Drive System (CRDS) of GE-Hitachi's BWRX-300 small modular reactor (SMR), focusing on the electrically powered fine motion control rod drive (…
View article: SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors
SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors Open
In nuclear power plants (NPPs), anomalies arising from sensors or human errors (HEs) can undermine the performance and reliability of plant operations. Anomaly detection models can be employed to detect sensor errors and HEs. Additionally,…
View article: Chatter detection in simulated machining data: a simple refined approach to vibration data
Chatter detection in simulated machining data: a simple refined approach to vibration data Open
Vibration monitoring is a critical aspect of assessing the health and performance of machinery and industrial processes. This study explores the application of machine learning techniques, specifically the Random Forest (RF) classification…
View article: Fault Detection and Isolation in Simulated Batch Operation of Fine Motion Control Rod Drives
Fault Detection and Isolation in Simulated Batch Operation of Fine Motion Control Rod Drives Open
Control rods and elements manage the power distribution in nuclear reactors through the motion of banks of rods distributed throughout the core. These positional changes are achieved through the actuation of fine motion control rod drive (…
View article: Deep Learning Approach to Within-Bank Fault Detection and Diagnostics of Fine Motion Control Rod Drives
Deep Learning Approach to Within-Bank Fault Detection and Diagnostics of Fine Motion Control Rod Drives Open
Control rod motion is one of the primary means of regulating the rate of fission in a nuclear reactor core to ensure safe and stable operation. Reactor power distribution and thermal power output can be fine-tuned by adjusting the control …
View article: Creating Pathways for Success and Engagement for Women in Engineering
Creating Pathways for Success and Engagement for Women in Engineering Open
According to current research in engineering education, studies show how narrow conceptualizations of the engineering "pipeline" overgeneralize the experiences of women into a single shared experience, ignoring the intersectionality of tod…
View article: Combining Similarity Measures and Left-Right Hidden Markov Models for Prognostics of Items Subjected to Perfect and Imperfect Maintenance
Combining Similarity Measures and Left-Right Hidden Markov Models for Prognostics of Items Subjected to Perfect and Imperfect Maintenance Open
In the nuclear industry, high system reliability requirements are essential since in-service failure can result in undesirable consequences in terms of costs or safety. However, the current approach to maintaining systems and components is…
View article: Chatter Detection in Simulated Machining Data: A Simple Refined Approach to Vibration Data
Chatter Detection in Simulated Machining Data: A Simple Refined Approach to Vibration Data Open
Vibration monitoring is a critical aspect of assessing the health and performance of machinery and industrial processes. This study explores the application of machine learning techniques, specifically the Random Forest (RF) classification…
View article: Auxiliary Particle Filter for Prognostics and Health Management
Auxiliary Particle Filter for Prognostics and Health Management Open
Accurately predicting the remaining useful life (RUL) of a system is a crucial factor in prognostics and health management (PHM). This paper introduces an auxiliary particle filter (APF) model, which has the advantages of dynamically updat…
View article: Chatter Detection in Simulated Machining Data: A Vibration-Driven Machine Learning Approach
Chatter Detection in Simulated Machining Data: A Vibration-Driven Machine Learning Approach Open
Vibration monitoring is a critical aspect of assessing the health and performance of machinery and industrial processes. This study explores the application of machine learning techniques, specifically the Random Forest (RF) classification…
View article: Servomotor Dataset: Modeling Health in Mechanisms with Typically Intermittent Operation
Servomotor Dataset: Modeling Health in Mechanisms with Typically Intermittent Operation Open
Servomotors are used in a variety of industrial applications where precise movements are of critical importance. Degradation mechanisms in servomotors have been mostly studied and modeled for systems with long duration steady state modes. …
View article: Foreword: Selected papers from the NPIC&HMIT 2019 and 2021 Topical Meetings
Foreword: Selected papers from the NPIC&HMIT 2019 and 2021 Topical Meetings Open
Here, we are pleased to present this special issue of Nuclear Technology, which includes 17 papers based on work presented at the 11th and 12th International Topical Meetings on Nuclear Plant Instrumentation, Control & Human-Machine Interf…
View article: Economic Risk-Informed Maintenance Planning and Asset Management (Final Report)
Economic Risk-Informed Maintenance Planning and Asset Management (Final Report) Open
The proposed work will provide a holistic framework for cost-minimizing risk-informed maintenance planning, including inspection, in light water reactors (LWRs). Specifically, we develop a two-tier framework that (a) coarsely minimizes the…
View article: University Research to Support the MPACT 2020 Milestone
University Research to Support the MPACT 2020 Milestone Open
University research is a strong focus of the Office of Nuclear Energy within the Department of Energy. This research complements existing work in the various program areas and provides support and training for students entering the field. …