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Convolutional Neural Network Identification of Stall Flow Patterns in Pump–Turbine Runners
Stall flow patterns occur frequently in pump turbines under off-design operating conditions. These flow patterns may cause intensive pressure pulsations, sudden increases in the hydraulic forces of the runner, or other adverse consequences, and are some of the most notable subjects in the study of pump turbines. Existing methods for identifying stall flow patterns are not, however, sufficiently objective and accurate. In this study, a convolutional neural network (CNN) is built to identify anddoi:10.3390/en15155719 fatcat:qqkhz3i3ifdu7kfq3fmn5yzxhy