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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
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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May 2025
Latest News
Dragonfly, a Pu-fueled drone heading to Titan, gets key NASA approval
Curiosity landed on Mars sporting a radioisotope thermoelectric generator (RTG) in 2012, and a second NASA rover, Perseverance, landed in 2021. Both are still rolling across the red planet in the name of science. Another exploratory craft with a similar plutonium-238–fueled RTG but a very different mission—to fly between multiple test sites on Titan, Saturn’s largest moon—recently got one step closer to deployment.
On April 25, NASA and the Johns Hopkins University Applied Physics Laboratory (APL) announced that the Dragonfly mission to Saturn’s icy moon passed its critical design review. “Passing this mission milestone means that Dragonfly’s mission design, fabrication, integration, and test plans are all approved, and the mission can now turn its attention to the construction of the spacecraft itself,” according to NASA.
Ali S. Erbay, Belle R. Upadhyaya
Nuclear Technology | Volume 119 | Number 1 | July 1997 | Pages 63-75
Technical Paper | Reactor Control | doi.org/10.13182/NT77-A35395
Articles are hosted by Taylor and Francis Online.
The safe operation and efficient control of a nuclear power plant requires reliable information about the state of the process. Therefore, the validity of sensors that measure the process variables is of great importance. Properly validated process signals are also beneficial from the standpoint of increased plant availability and reliability of operator actions. Signal validation is implemented by using various algorithms. The effectiveness of a few other techniques during steady-state and transient-operating conditions are investigated. These algorithms are implemented in a personal computer-based system, along with a fuzzy logic decision-making module. The effectiveness of the overall system is demonstrated using data from operating power plants.
