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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Feb 2023
Jul 2022
Latest Journal Issues
Nuclear Science and Engineering
February 2023
Nuclear Technology
Fusion Science and Technology
Latest News
Nominations for national awards open for 2023 ANS Annual Meeting
Nominations for the 2023 Annual Meeting awards are now being accepted, through the deadline of March 1. Hash Hashemian, chair of the ANS Honors and Awards Committee, urged members in a letter posted online to nominate their peers: “Your nomination of highly qualified individuals is the key step in recognizing their contributions and ensuring that the ANS Honors and Awards Program is aware of their achievements.” The recipients of the national awards, listed below, will be honored at the 2023 ANS Annual Meeting in Indianapolis, Ind. Honorees will be notified of their selection by May.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Tuesday, June 15, 2021|4:30–6:15PM EDT
Session Chair:
Fan Zhang (University of Tennessee-Knoxville)
Alternate Chair:
Jamie B. Coble (University of Tennessee-Knoxville)
Session Organizer:
Staff Producer:
Ashley Jiminian (ANS)
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Presentation Video — Dr. Xiao
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Artificial Reasoning System for Symptom-Based Conditional Failure Probability Estimation Using Bayesian Network
Xingang Zhao (ORNL), Michael Golay (MIT)
Summary
Nuclear Power Prognostic Model Assessment for Component Health Monitoring
Pradeep Ramuhalli (ORNL), Cody Walker (INL), Vivek Agarwal (INL), Nancy Lybeck (INL)
Multi-Fault System Prognostics of Maintenance Dependent Processes in Nuclear Power Plants
Hang Xiao (Univ. of Tennessee Knoxville), Alex Hines (Univ. of Tennessee Knoxville), Fan Zhang (Univ. of Tennessee Knoxville), Jamie B. Coble (Univ. of Tennessee Knoxville), J. Wes Hines (Univ. of Tennessee Knoxville)
Combining System Architecture Modelling with Dynamic Process Simulation for Early Stage Fault and Effect Analysis
Joonas Linnosmaa (VTT Technical Research Centre of Finland), André A. Hauge (Institute for Energy Technology), Fabien Sechi (Institute for Energy Technology), Miki Sirola (Aalto Univ.)
A Process to Assess Latent Failure Risk in Sequential Control Logic During a FMEA
M. McCarthy (Kinectrics), D. K. Masrani (Kinectrics), A. Vieira (Kinectrics)
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