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Full-Text Articles in Nuclear Engineering
Robust Multichannel Functional-Data-Analysis Methods For Data Recovery In Complex Systems, Jian Sun
Robust Multichannel Functional-Data-Analysis Methods For Data Recovery In Complex Systems, Jian Sun
Doctoral Dissertations
In recent years, Condition Monitoring (CM), which can be performed via several sensor channels, has been recognized as an effective paradigm for failure prevention of operational equipment or processes. However, the complexity caused by asynchronous data collection with different and/or time-varying sampling/transmission rates has long been a hindrance in the effective use of multichannel data in constructing empirical models. The problem becomes more challenging when sensor readings are incomplete. Traditional sensor data recovery techniques are often prohibited in asynchronous CM environments, not to mention sparse datasets. The proposed Functional Principal Component Analysis (FPCA) methodologies, e.g., nonparametric FPC model and semi-parametric …
Simulation And Validation Of Two-Component Flow In A Void Recirculation System, Oscar Eduardo Daza
Simulation And Validation Of Two-Component Flow In A Void Recirculation System, Oscar Eduardo Daza
Master's Theses
Nuclear power plants rely on the Emergency Core Cooling System (ECCS) to cool down the reactor core in case of an accident. Occasionally, air is entrained into the suction piping of ECCS causing voids that decrease pumping efficiency, and consequently damage the pumps. In an attempt to minimize the amount of voids entering the suction side of the pump in ECCS, a Void Recirculation System (VRS) experiment was conducted for a proof of concept purpose. While many studies have been oriented in studying two-component flow behavior in ECCS, none of them propose a solution to minimize air entrainment. As a …