A New Processing Method Combined with BP Neural Network for Francis Turbine Synthetic Characteristic Curve Research

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2017/1870541/figures/1870541.fig.0011a.svgz" name="1870541.fig.0011a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>No-load frequency perturbation experiments under rated head</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2017/1870541/figures/1870541.fig.0011b.svgz" name="1870541.fig.0011b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Full load rejection experiments under rated head</td></tr></table>

<div>Simulation results of two typical operating conditions.</div>

International Journal of Rotating Machinery

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Figure 11

Figure 11: A New Processing Method Combined with BP Neural Network for Francis Turbine Synthetic Characteristic Curve Research 