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.