The nuclear industry is on the precipice of assuming its natural place as the central backbone of carbon-free power. AI will accelerate this ascension and deliver insights and savings at new level.
The Artificial Intelligence Small Unit Manuever (AISUM) Challenge seeks to develop algorithms to improve the maneuverability and reconnaissance abiliies of drones operating in confined spaces. AISUM has given several examples of scenarios that the drones may have to perform. The drones must demostrate; navigation, mapping, collision avoidance, object recognition, color detection, and friend/foe determination. The…
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A data-driven model for predicting moisture carryover (MCO) in the General Electric Type-4 boiling water reactor (BWR) was constructed using a physics-constrained artificial intelligence technique. An accurate prediction of the MCO is of great value for commercial BWR operators as it can be used to modify the operational plan during a power cycle to mitigate…
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Blue Wave AI Labs partnered with Southern Nuclear Power (SNP) to detect chattering in Boiling Water Reactor (BWR) safety valves and their component failure, as faulty reactor components can lead to downtime and consequently millions of dollars in lost revenue. Under certain operating conditions in a nuclear power plant’s boiling water reactor (BWR), a condition…
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Boiling water reactors (BWRs) require one to remove liquid moisture from a two-phase mixture as it exits the core. But excess moisture carryover (MCO) can lead to the intergranular stress corrosion cracking of turbine blades, along with damage to other plant components. Too much MCO can also cause an increase in employees’ exposure levels to…
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Purdue University Research Foundation | October 16, 2019
Last month, Blue Wave AI Labs received a $6.9 million grant from the Department of Energy to develop predictive models of reactor components that might cause unplanned outages.
U.S. Department of Energy | September 10, 2019
Blue Wave AI Labs will develop and provide Machine Learning solutions to improve and extend diagnostic and prognostic capabilities for predictive maintenance in nuclear plants.
U.S. Department of Energy | April 30, 2019
The following projects were selected under the Funding Opportunity Announcement titled “U.S. Industry Opportunities for Advanced Nuclear Technology Development.”
