The invention discloses a blade detection method based on blade
load analysis, and belongs to the technical field of
wind driven generators. The method comprises the following steps: 1, monitoring and acquiring vibration
signal data of a
fan blade through a sensor for detecting vibration of the
fan blade, and converting the vibration
signal data into
modal data; 2, constructing the
modal data in the step 1 into a model through a finite
element analysis (FEA) tool, and adding an orthotropic material constitutive relation and geometrical characteristics of a plate-
shell theory on the model to obtain a
cantilever beam model comprising parameters of a
fan blade load F and a
stiffness matrix K; 3, conducting static
load analysis on the
cantilever beam model obtained in the step 2, and calculating the deformation u of the
cantilever beam model, wherein u = {F} / [K], {F} represents comprehensive force borne by the blade and comprises self gravity and
wind power, and [K] represents the
stiffness matrix; and 4, conducting dynamic
load analysis on the cantilever beam model obtained in the step 2, applying full constraint to the root of the blade, conducting
modal analysis on the single blade through
finite element software, obtaining the first six-order vibration mode and the inherent frequency of the blade, and obtaining the vibration mode node position of the blade fault position in the blade bending direction, so that the defect position and the defect type of the to-be-detected blade are obtained.