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A Novel Data Obfuscation Method to Share Nuclear Data for Machine Learning Application, INL/RPT-22-69871274561Advance Concepts of OperationsThe nuclear power industry is data-rich and these data introduce a tremendous potential for automation and cost savings. On the other hand, research organizations, among other stakeholders, have very capable methods and solutions often developed using simulated or synthetic data due to the lack of real data. One cause of this disconnect is data privacy. Data privacy is of paramount importance in all industries, but especially the nuclear industry. This challenge motivated the data obfuscation method called deceptive infusion of data (DIOD).11/15/2022 3:18:42 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government One cause of this disconnect is 32https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-11-15T07:00:00Z
Automation Technologies Impact on the Work Process of Nuclear Power Plants, INL/EXT-18-5145755650Data Architecture & AnalyticsAutomation Technologies Impact on the Work Process of Nuclear Power Plants, INL/EXT-18-51457, A. Rashdan, T. Mortenson, September 2018.10/4/2018 5:57:54 AMThe INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance INL/EXT-18-51457-Revision-0 Automation Technologies Impact on the Work Process of 310https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2018-09-03T06:00:00Z
Automation of Data Collection Methods for Online Monitoring of Nuclear Power Plants, INL/EXT-18-51456.55651Data Architecture & AnalyticsAutomation of Data Collection Methods for Online Monitoring of Nuclear Power Plants, INL/EXT-18-51456, A. Rashdan, S. St. Germain, September 2018.10/4/2018 5:57:27 AMThe INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance INL/EXT-18-51456-Revision-0 Automation of Data Collection Methods for Online 189https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2018-09-03T06:00:00Z
I&C Infrastructure Modernization: Safety-Related I&C Pilot Upgrade Project at Limerick Generating Station, INL/EXT-19-54766200745Digital Infrastructure​​​​I&C Infrastructure Modernization Safety-Related I&C Pilot Upgrade Project at Limerick Generating Station (LGS)5/24/2023 7:52:53 PMNew Instrumentation and Control and Human System Interfaces and Capabilities https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxaspxFalseaspx2020-11-19T07:00:00Z
Vendor-Independent Design Requirements for a Boiling Water Reactor Safety System Upgrade, INL/EXT-20-61079281038Digital Infrastructure​The commercial nuclear sector faces unprecedented financial challenges driven by low natural gas prices and subsidized renewables in a marketplace that does not reward carbon-free baseload capacity. These circumstances, along with increasingly antiquated labor-centric operating models and analog technology, have forced the premature closure of multiple nuclear facilities and placed a much larger population of nuclear power stations at-risk.1/6/2021 9:22:24 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government ECCS is not an individual system 15https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-05-01T06:00:00Z
Demonstration and Evaluation of the Human-Technology Integration Guidance for Plant Modernization, INL/RPT-22-70538280841Human and Technology IntegrationThe scope of this work documents the demonstration of the recently developed human and technology integration methodology, as applied to developing a new vision and concept of operations for a major U.S. nuclear power plant fleet. This report focuses on the methodological aspects of developing a vision and concept of operations. This report shares the tools, activities, and lessons learned during a modernization currently underway for industry as a whole to consider when planning any significant digital modification and developing a new vision and concept of operations. 5/1/2023 5:14:13 PMINL/RPT-22-70538 Revision 0 Light Water Reactor Sustainability Program Demonstration and Evaluation of the Human-Technology Integration Guidance for Plant Modernization December 20https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-12-15T07:00:00Z
Demonstration of the Human and Technology Integration Guidance for the Design of Plant-Specific Advanced Automation and Data Visualization Techniques, INL/RPT-23-71395274419This report presents interim findings of two key collaborations with United States utilities currently planning and executing large-scale digital instrumentation and control modifications to their main control rooms. While these collaborations are ongoing, this report presents lessons learned in the demonstration of the human and technology integration methodology. 3/10/2023 9:09:49 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Nuclear power continues to be a 79https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2023-03-13T06:00:00Z
Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671, Rev 1274539Researchers selected nine work reduction opportunities from the full ION. A selected group of utilities verified details of the work reduction opportunities and inputs to the ION model first published in the original report. Verification categories included capital cost, technology requirements, and operational and maintenance savings, among others. Researchers then modeled the data points and data ranges using probabilistic analysis to predict the likelihood of positive or negative net present value outcomes.1/25/2023 11:22:14 PMINL/RPT-22-68671 Revision 1 Light Water Reactor Sustainability Program Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation January 2023 89https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2023-01-26T07:00:00Z
Development of a Cloud-based Application to Enable a Scalable Risk-informed Predictive Maintenance Strategy at Nuclear Power Plants, INL/RPT-22-70543274555This report conducts a techno-economic assessment of a provisional cloud deployment architecture for a nuclear power plant predictive monitoring system. The cloud-based monitoring system would enable maintenance and diagnostics analysts and other authorized plant users to remotely monitor equipment functionality so as to enable predictive monitoring practices and early detection of faults. This report covers certain regulatory and security aspects that may concern licensees looking to implement cloud computing. The report also focuses on the integration of sensor database storage, the application of cloud resources to predictive maintenance, and the identification of technological and economic hurdles associated with moving to a cloud-computing-based architecture. 12/14/2022 7:56:00 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government This is partly due to how the 26https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-12-14T07:00:00Z
Data Architecture and Analytics Requirements for Artificial Intelligence and Machine Learning Applications to Achieve Condition-Based Maintenance, INL/RPT-22-70350274519This report identifies some of the important requirements that need to be considered as part of the data evolution for the condition-based maintenance application on a circulating water system in an nuclear power plant. The concept of data evolution converts data into information, which in turn is converted into insight, decision, and action. An overview of AI design, development, deployment, and operation principles is introduced to support the lifecycle of AI technologies.11/28/2022 11:59:56 PMU.S. Department of Energy Office of Nuclear This information was prepared as an account of work sponsored by an agency of the U.S. Government Neither the U.S. Government nor any 33https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-11-22T07:00:00Z
Digital Infrastructure Industry Engagement, INL/EXT-22-69268186129This report summarizes outreach efforts to both industry wide organizations and specific utilities. Industry organizations that were engaged including the Pressurized Water Reactor Owner’s Group, the Nuclear Information Technology Strategic Leadership group, and Light Water Reactor Sustainability Plant Modernization Pathway Stakeholders.9/16/2022 3:12:52 PMU.S. Department of Energy Office of Nuclear This information was prepared as an account of work sponsored by an agency of the U.S. Government Neither the U.S. Government nor any 154https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-09-21T06:00:00Z
Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants, INL/EXT-22-68942185925Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants, INL/RPT-22-68942, September 2022.3/30/2023 6:38:26 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The technical basis will lay the 46https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-09-08T06:00:00Z
Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671185713Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671, August 2022.8/30/2022 10:21:38 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The purpose of this report is to 172https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-08-30T06:00:00Z
Demonstration and Evaluation of the Human-Technology Integration Function Allocation Methodology, INL/RPT-22-68472162054Demonstration and Evaluation of the Human-Technology Integration Function Allocation Methodology, INL/RPT-22-68472, August 2022.8/11/2022 11:13:49 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government There is an imminent need for 83https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-08-11T06:00:00Z
Using Information Automation and Human Technology Integration to Implement Integrated Operations for Nuclear, INL/RPT-22-68076162102Using Information Automation and Human Technology Integration to Implement Integrated Operations for Nuclear, INL/RPT-22-68076, July 20227/28/2022 4:40:27 PMINL/RPT-22-68076 Light Water Reactor Sustainability Program Using Information Automation and Human Technology Integration to Implement Integrated Operations for Nuclear July 2022 131https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2022-07-28T06:00:00Z
Process Anomaly Detection for Sparsely Labeled Events in Nuclear Power Plants, INL/EXT-21-64303, September 2021160903Process Anomaly Detection for Sparsely Labeled Events in Nuclear Power Plants, INL/EXT-21-64303, J. Farber, A. Al Rashdan, H. Abdel-Khalik, Y. Li, M. Abdo, D. Mandelli, D. Huang, September 2021.9/30/2021 3:35:26 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Once an anomaly is detected by 545https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-09-30T06:00:00Z
Development of an Assessment Methodology That Enables the Nuclear Industry to Evaluate Adoption of Advanced Automation, INL/EXT-21-64320160879Development of an Assessment Methodology That Enables the Nuclear Industry to Evaluate Adoption of Advanced Automation, INL/EXT-21-64320, C. Kovesdi, Z. Spielman, R. Hill. J. Mohon, T. Miyake, C. Pederson, September 2021.9/14/2021 6:14:12 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Nuclear power has a crucial role 376https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-09-29T06:00:00Z
Nuclear Work Function Innovation Tool Set Development for Performance Improvement and Human Systems Integration, INL/EXT-21-64428160908Nuclear Work Function Innovation Tool Set Development for Performance Improvement and Human Systems Integration, INL/EXT-21-64428, C. Kovesdi, J. Mohon, K. Thomas, J. Remer, J. Joe, L. Hanes, M. Dainoff, L. Hettinger, September 2021.9/28/2021 6:08:20 PMINL/EXT-21-64428 Light Water Reactor Sustainability Program Nuclear Work Function Innovation Tool Set Development for Performance Improvement and Human Systems Integration 189https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-09-29T06:00:00Z
Digital Infrastructure Migration Framework, INL/EXT-21-64580160904Digital Infrastructure Migration Framework, INL/EXT-21-64580, P. Hunton, R. England, September 2021.9/27/2021 8:57:13 PMINL/EXT-21-64580 Light Water Reactor Sustainability Program Digital Infrastructure Migration Framework September 2021 U.S. Department of Energy Office of Nuclear Energy DISCLAIMER 234https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-09-25T06:00:00Z
Scalable Technologies Achieving Risk-Informed Condition-Based Predictive Maintenance Enhancing the Economic Performance of Operating Nuclear Power Plants, INL/EXT-21-64168160878The outcomes presented in this report lay the foundation and provide a much-needed technical basis for focusing on the explainability and trustworthiness of machine language and artificial intelligence-based technologies as part of future research.8/30/2021 6:34:20 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The work presented in the report 396https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-08-30T06:00:00Z
Process for Significant Nuclear Work Function Innovation Based on Integrated Operations Concepts, INL/EXT-21-64134160877Researchers selected nine work reduction opportunities from the full Integrated Operations for Nuclear (ION) suite of initiatives. A selected group of utilities verified details of the work reduction opportunities and inputs to the ION model first published in the original report. Verification categories included capital cost, technology requirements, and operational and maintenance savings, among others. Researchers then modeled the data points and data ranges using probabilistic analysis to predict the likelihood of positive or negative net present value outcomes.10/29/2021 12:43:21 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government ION Generation I refers to work 552https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-08-26T06:00:00Z
Usability Evaluation of the Innovation Portal and Integrated Capability Analysis Platform, INL/EXT-21-63101105233Usability Evaluation of the Innovation Portal and Integrated Capability Analysis Platform, INL/EXT-21-63101, J. Mohon, C. Pederson, C. Kovesdi, J. Joe, June 2021.6/26/2021 2:48:07 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The IP and ICAP tools were 399https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-06-30T06:00:00Z
Machine Learning and Economic Models to Enable Risk-Informed Condition Based Maintenance of a Nuclear Plant Asset, INL/EXT-21-6198494309The R&D activities reported lay the foundation to develop and demonstrate a digital automated platform to centralize the implementation of condition monitoring. Development of fault signatures and ML diagnostic models will be extended to other CWP, CWP motor, and system-level faults in the future.3/15/2021 8:53:32 PMThis information was prepared as an account of work sponsored by an agency of the U.S. Government Neither the U.S. Government nor any agency thereof, nor any of their employees 308https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2021-03-26T06:00:00Z
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-20-6054967211Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-20-60549, J. Langstrand, R. McDonald H. Nguyen, November 2020.4/12/2021 8:03:08 PMNeither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the 458https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-11-12T07:00:00Z
Report on the Use and Function of the Work Function Analysis Tool and Nuclear Innovation Portal, INL/EXT-20-59827201922Report on the Use and Function of the Work Function Analysis Tool and Nuclear Innovation Portal, INL/EXT-20-59827, C. Kovesdi, K. Thomas, S. Remer, J. Boyce, September 2020.9/30/2020 3:52:44 PMINL/EXT-20-59827 Revision 0 Light Water Reactor Sustainability Program Report on the Use and Function of the Integrated Operations Capability Analysis Platform and the LWRS 279https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-09-20T06:00:00Z
Concept for Integrated Multi-Modal Online Piping Monitoring System along with Data Fusion and Advanced Data Analytical Algorithms Using High- Resolution Fiber Optics Sensors, INL/EXT-20-59810201920Concept for Integrated Multi-Modal Online Piping Monitoring System along with Data Fusion and Advanced Data Analytical Algorithms Using High- Resolution Fiber Optics Sensors, INL/EXT-20-59810, A. Gribok, M. Wang, J. Wu, Q. Wang, A. Venketeswaran, K. Zhao, K. Chen, September 2020.9/23/2020 6:40:33 PMNeither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the 194https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-09-17T06:00:00Z
Safety-Related Instrumentation & Control Pilot Upgrade Initial Scoping Phase Implementation Report And Lessons Learned, INL/EXT-20-59809201919This LWRS Program research seeks to assist in breaking this impasse through the support of a SR I&C Pilot Upgrade Project. Exelon’s Limerick Generating Station, a BWR, has been selected as the target for this Project. This research report (1) describes the process followed and products developed during the SR I&C Pilot Project Initial Scoping Phase and (2) captures lessons learned.9/22/2020 3:19:09 PMNeither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the 196https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-09-14T06:00:00Z
An Applied Strategy for Using Empirical and Hybrid Models in Online Monitoring, INL/EXT-20-59688201921An Applied Strategy for Using Empirical and Hybrid Models in Online Monitoring, INL/EXT-20-59688, A. Rashdan, H. Abdel-Khalik, K. Giraud, L. Griffel, D. Guillen, A. Varuttamaseni, September 2020.9/30/2020 4:19:50 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The strategy is driven by key 442https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-09-11T06:00:00Z
Concrete Structure Health Monitoring Using Vibroacoustic Testing and Machine Learning, INL/EXT-20-59941201918Concrete Structure Health Monitoring Using Vibroacoustic Testing and Machine Learning, INL/EXT-20-59941, M. Miele, P. Karve, S. Mahadevan, V. Agarwal, September 2020.9/30/2020 11:37:39 PMINL/EXT—20-59914 Revision 0 Light Water Reactor Sustainability Program Concrete Structure Health Monitoring Using Vibro-acoustic Testing and Machine Learning September 2020 273https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-09-03T06:00:00Z
Hybrid Modeling of a Circulating Water Pump Motor, INL/EXT-20-59600201915Hybrid Modeling of a Circulating Water Pump Motor, INL/EXT-20-59600 V. Agarwal, S. Kovacevic, P. Harry, August 2020.9/1/2020 12:35:52 AMINL/EXT-20-59600 Revision 0 Light Water Reactor Sustainability Program Hybrid Modeling of a Circulating Water Pump Motor August 2020 U.S. Department of Energy Office of Nuclear 280https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-08-11T06:00:00Z
Towards a Deeper Understanding of Automation Transparency in the Operation of Nuclear Plants, INL/EXT-20-59469201906Towards a Deeper Understanding of Automation Transparency in the Operation of Nuclear Plants, INL/EXT-20-59469, G. Skraaning, G. Jamieson, J. Joe, August 2020.8/21/2020 3:03:51 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government In this foreword, we review the 397https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-08-04T06:00:00Z
Business Case Analysis for Digital Safety-Related Instrumentation & Control System Modernizations, INL/EXT-20-59371206227While regulatory advances have improved the environment for modernizing safety systems, the industry has remained reluctant to perform such I&C upgrades because of perceived regulatory risks associated with being the first adopter of the DI&C-ISG-06, Revision 2 process for a major critical safety system.9/17/2020 10:01:53 PMU.S. Department of Energy Office of Nuclear This information was prepared as an account of work sponsored by an agency of the U.S. Government Neither the U.S. Government nor any 253https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-08-01T06:00:00Z
Analysis and Planning Framework for Nuclear Plant Transformation, INL/EXT-20-59537281034This report provides an analysis and planning framework for transforming the current NPP operating model via transferable learnings from the North Sea O&G industry. This framework is termed “Integrated Operations for Nuclear” (ION). This report describes the key principles and methods of IO and how they are being applied via collaboration between the DOE LWRSProgram and Xcel Energy in an initiative to transform the NPP operating model in order to foster performance improvement and long-term sustainability. 4/14/2022 9:26:25 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Today, the industry is at the 12https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-08-01T06:00:00Z
Markov Process to Evaluate the Value Proposition of a Risk-Informed Predictive Maintenance Strategy, INL/EXT-20-59146201903Markov Process to Evaluate the Value Proposition of a Risk-Informed Predictive Maintenance Strategy, INL/EXT-20-59146, V. Agarwal, A. Gribok, P. Harry, July 2020.7/27/2020 2:58:52 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The work presented in the report 205https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-07-04T06:00:00Z
Development of an Advanced Integrated Operations Concept for Hybrid Control Rooms, INL/EXT-20-5786255541Development of an Advanced Integrated Operations Concept for Hybrid Control Rooms, INL/EXT-20-57862, C. Kovesdi, J. Mohon, R. Li, T. Miyake, J. Lehmer, R. Hill, Z. Spielman, T. Mortenson, K. Le Blanc, March 2020.6/16/2020 5:52:26 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The U.S. nuclear industry has an 282https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2020-03-01T07:00:00Z
Addressing Nuclear I&C Modernization Through Application of Techniques Employed in Other Industries, INL/EXT-19-5579955786This research focuses on presenting advancements that have been made by non-nuclear I&C vendors and potential savings that could be realized by their optimized nuclear industry application. To promote understanding and to bound the initial scope for this effort, a pilot vendor and an associated pilot implementation were chosen as an integrated presentation example for illustration.10/3/2019 2:08:23 AMINL/EXT-19-55799 Light Water Reactor Sustainability Program Addressing Nuclear I&C Modernization Through Application of Techniques Employed in Other Industries September 2019 U.S. 391https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-24T06:00:00Z
Modeling and Simulation Introducing hardware-in-the-loop capabilities to the Human Systems Simulation Laboratory, INL/MIS-19-5596955960Modeling and Simulation Introducing hardware-in-the-loop capabilities to the Human Systems Simulation Laboratory, INL/MIS-19-55969, B. Rice, J. Lehmer, R. England, September 2019.10/31/2019 1:44:48 AMThe INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance INL/EXT-19-55969 Modeling and Simulation Introducing hardware-in-the-loop 215https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-24T06:00:00Z
Automating Fire Watch in Industrial Environments through Machine Learning-Enabled Visual Monitoring, INL/EXT-19-5570355648Automating Fire Watch in Industrial Environments through Machine Learning-Enabled Visual Monitoring, INL-EXT-19-55703, A. Rashdan, M. Griffel, L. Powell, September 2019.9/26/2019 8:54:50 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government A fire watch is a worker 1181https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-23T06:00:00Z
Determination of Sensor Quality of Calibration Using Advanced Data Analytics and Machine Learning Methods, INL/EXT-19-5540755534Determination of Sensor Quality of Calibration Using Advanced Data Analytics and Machine Learning Methods, INL/EXT-19-55407, S. Cetiner, N. Rao, P. Ramuhalli, C. Greulich, P. Devineni, F. Zhang, A. Gurgen, V. Agarwal, September 2019.9/10/2019 5:43:08 PMU.S. Department of Energy Of f ice of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government They also appear to be more 751https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-22T06:00:00Z
Preliminary Results of a Bounded Exhaustive Testing Study for Software in Embedded Digital Devices in Nuclear Power Applications, INL/EXT-19-5560655849Preliminary Results of a Bounded Exhaustive Testing Study for Software in Embedded Digital Devices in Nuclear Power Applications, INL/EXT-19-55606, C. Elks, A. Jayakumar, A. Collins, R. Hite, T. Karles, C. Deloglos, B. Simmons, A. Tantawy, S. Gautham, September 2019.9/15/2019 1:03:33 AMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government One such method that would be 673https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-21T06:00:00Z
Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology, INL/EXT-19-5561055377Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology, INL/EXT-19-55610, A. Rashdan, J. Browning, C. Ritter, September 2019.9/24/2019 3:47:36 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The data of a nuclear power 998https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-20T06:00:00Z
Report for 2.2.1 Task 3: Develop and Document an Advanced Human System Interface for the Generic Pressurized Water Reactor Simulator, INL/EXT-19-5578855535Report for 2.2.1 Task 3: Develop and Document an Advanced Human System Interface for the Generic Pressurized Water Reactor Simulator, INL/EXT-19-55788, R. McDonald, A. Ove Braseth, J. Joe, September 2019.9/30/2019 11:12:49 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government The work is performed for Idaho 198https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-20T06:00:00Z
Report for 2.2.1 Task 4: Software-Based Tools to Support Human-System Evaluation Studies, INL/EXT-19-5578955851Report for 2.2.1 Task 4: Software-Based Tools to Support Human-System Evaluation Studies, INL/EXT-19-55789, M. Hildebrandt, J. Langstrand, H. Nguyen, J. Joe, September 2019.9/30/2019 11:34:11 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government NO-1751 Halden, Norway +47 69 21 192https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-20T06:00:00Z
Automating Surveillance Activities in a Nuclear Power Plant, INL/EXT-19-5562055649Automating Surveillance Activities in a Nuclear Power Plant, INL/EXT-19-556209/25/2019 1:38:51 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Ahmad Al Rashdan and Shawn St 628https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-18T06:00:00Z
Nuclear Power Plant Modernization Strategy and Action Plan, INL/EXT-19-5585255963Nuclear Power Plant Modernization Strategy and Action Plan, INL/EXT-19-55852, K. Thomas, P. Hunton, September 2019.9/30/2019 10:16:20 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government This Action Plan is built on 1245https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-18T06:00:00Z
Subtle Process-Anomalies Detection Using Machine-Learning Methods, INL/EXT-19-5562955861Subtle Process-Anomalies Detection Using Machine-Learning Methods, INL/EXT-19-55629, A. Rashdan, M. Griffel, R. Boza, D. Guillen, September 2019.9/25/2019 10:25:47 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government Escalation of an anomaly to a 1007https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-09-17T06:00:00Z
Utilizing FLEX Equipment for Operations and Maintenance Cost Reduction in Nuclear Power Plants, INL/EXT-19-5544555791Utilizing FLEX Equipment for Operations and Maintenance Cost Reduction in Nuclear Power Plants, INL/EXT-19- 55445, V. Yadav, J. Biersdorf, August 2009.8/29/2019 3:11:40 AMINL/EXT-19-55445 Revision 0 Light Water Reactor Sustainability Program Utilizing FLEX Equipment for Operations and Maintenance Cost Reduction in Nuclear Power Plants Vaibhav Yadav 721https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-08-24T06:00:00Z
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, NL/EXT-19-5536855644Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-19-55368, J. Langstrand, H. Nguyen, R. McDonald, August 2019.8/29/2019 6:22:24 PMJens-Patrick Langstrand, Hoa Nguyen, Robert McDonald U.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of 168https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-08-18T06:00:00Z
Method and Application of Data Integration at a Nuclear Power Plant, INL/EXt-19-54294283447Creating a data warehouse in a plant or a data broker for a fleet of plants requires overcoming multiple challenges, including the lack of a standard form of storing and using data and the lack of integration methods to compare and map the different data sources. This effort develops and demonstrates a data integration method and application through data fusion and data warehousing pilots.5/4/2023 2:26:27 PMINL/EXT-19-54294 Revision 0 Light Water Reactor Sustainability Program Method and Application of Data Integration at a Nuclear Power Plant June 2019 U.S. Department of Energy 18https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-08-05T06:00:00Z
Methods to Automate Assessing Outage Risk and Technical Specification Compliance for Planned Work and Current Plant Conditions, INL/EXT-19-55308206399Methods to Automate Assessing Outage Risk and Technical Specification Compliance for Planned Work and Current Plant Conditions, INL-EXT-19-55308, S. St Germain, J. Masterlark, R. Priddy, S. Beck, August 2019.8/26/2019 3:49:46 PMU.S. Department of Energy Office of Nuclear Energy This information was prepared as an account of work sponsored by an agency of the U.S. Government This research effort is a part 124https://lwrs.inl.gov/Advanced IIC System Technologies/Forms/AllItems.aspxpdfFalsepdf2019-08-04T06:00:00Z

 
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