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Detecting loss-of-coolant accidents without accident-specific data

Progress in Nuclear Energy, 2020
Abstract This paper develops an automated fault detection tool to detect very small LOCAs in pressurized water reactors that would be difficult for operators to detect manually. One of the primary challenges with previous automated fault detection methods, which are data-driven, is that they require data from LOCAs; however, it may be difficult to ...
Jacob A. Farber, Daniel G. Cole
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