The invention discloses a
fan blade state monitoring method based on multi-
sensor fusion, relates to the technical field of
wind power, and is suitable for wind energy
prime mover equipment manufacturing and blade state monitoring technologies of onshore and offshore wind generating sets. The method comprises the following steps: acquiring operation data, a vibration
signal, an acoustic
signal and a pulse
signal of a fan; the current working condition state of the fan is recognized, common-mode fault
verification, local damage positioning and
transient stress damage analysis are carried out on the vibration signals and the acoustic signals, and a
fault analysis result and a first
damage analysis result are obtained; performing phase-locked amplification analysis on the vibration signal and the acoustic signal through active excitation to obtain a second
damage analysis result; and finally, a comprehensive state monitoring report of the
fan blade is generated, so that the problems of difficulty in identification of weak damage and high
false alarm rate of blades of land and offshore wind generating sets in wind energy
prime mover equipment manufacturing under a non-stable working condition are solved, and the equipment operation and maintenance intelligent level in the wind energy
prime mover equipment manufacturing industry is effectively improved.