Wind turbine generator set blade-pitch variation safety prediction algorithm
A technology for wind turbines and prediction algorithms, which is applied in wind turbine components, wind turbines, wind power generation, etc., can solve problems such as hidden dangers of wind turbine safety, reduction of power generation efficiency of turbines, and influence on load and output of wind turbines, so as to improve safety. Effects of Sex and Reliability
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[0018] Below in conjunction with this embodiment the present invention is further described:
[0019] A prediction algorithm for pitch safety of a wind power generating set, using a BP three-layer neural network to predict the possibility of blade ice attachment, the BP three-layer neural network includes an input layer, a hidden layer and an output layer; the input layer includes 8 input nodes, namely: wind speed x1, air temperature x2, air humidity x3, pitch angle x4, impeller speed x5, blade spatial position x6, fan vibration value x7, blade material coefficient x8; the hidden layer includes 3 Nodes z1-z3; the output layer includes 1 output node: icing speed v; the functional relationship between the input node, the hidden layer node and the output node is as follows:
[0020] z k = f 1 ...
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