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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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!
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Nuclear Science and Engineering
August 2024
Nuclear Technology
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Latest News
Vogtle-3 shuts down for valve issue
One of the new Vogtle units in Georgia was shut down unexpectedly on Monday last week for a valve issue that has since been investigated and repaired. According to multiple local news outlets, Georgia Power reported on July 17 that Unit 3 was back in service.
Southern Company spokesperson Jacob Hawkins confirmed that Vogtle-3 went off line at 9:25 p.m. local time on July 8 “due to lowering water levels in the steam generators caused by a valve issue on one of the three main feedwater pumps.”
Miltiadis Alamaniotis (Univ of Texas at San Antonio)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 1691-1697
In this work a new methodology for monitoring reactor systems is introduced and its application on pressurized water reactor (PWR) data is presented. The methodology implements a synergistic framework of various relevance vector machines and fuzzy inference. The goal of the framework is to fuse the sensor readings and provide them in a solid form to the operator: this solid form is identified as the state of the reactor. Initially, each of the relevance vector machines fuses the data taken from a specific set of sensors, which have been assigned to it. In the next step, the fused data in the form of a nominal value are forwarded to a fuzzy inference system that takes the values of all the relevance vector machines and further fuses the data by providing a single value that matches the state of the reactor. This proposed methodology is applied on a set of real-world data taken from the LOFT Facility, which is a setup to simulate a pressurized water reactor. Results demonstrate the efficiency of the method in identifying the correct reactor state, while reducing the volume of processing data.