Health evaluation method of wind turbines based on diffusion map data dimensionality reduction technology
A wind turbine and data dimensionality reduction technology, which is applied to the health evaluation of wind turbines, and the field of wind turbine health assessment based on the diffusion map data dimensionality reduction technology, can solve the problem of inability to monitor the health status of wind turbines in a timely and effective manner. The problems of increased operation and maintenance costs, loss of human and material resources, etc., can avoid the loss of human and material resources, reduce the waste of human and material resources, and reduce the cost of operation and maintenance.
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[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0030] see Figure 1~3 , a method for assessing the health of wind turbines based on diffusion map data dimensionality reduction technology, including the following steps:
[0031] Step 1: Collect sample data: collect the fault sample data of the wind turbine generator set one week before the fault, the sampling frequency is 10min, the sampling dimension is 51, and the sample size contained in each sample data is 1008*51;
[0032] Step 2: Build a detection mo...
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