The application discloses a
fan blade diagnosis method and
system based on voiceprint
perception, relates to the technical field of intelligent monitoring of
wind power equipment, and comprises the following steps: performing
frequency domain compensation
processing based on a set of
wind flow characteristic parameters, stripping
environmental wind noise components, and generating a pure voiceprint
signal; identifying a sensitive
acoustic frequency band of a
fan blade based on the pure voiceprint
signal, exciting a
sound wave phase coordination effect in the sensitive
acoustic frequency band, and generating a strengthened voiceprint
signal; quantifying the internal damage depth of the
fan blade material according to the strengthened voiceprint signal, and calculating an
acoustic energy flow disorder degree index; determining the health state of the fan blade according to the
acoustic energy flow disorder degree index through a multi-dimensional acoustic characteristic
state space mapping mechanism, and generating a three-dimensional
health evaluation report; and through physical-level
wind noise stripping technology, generating a
transfer function matrix based on vortex interference modeling and
sound wave-air flow
phase offset correction, realizing frequency energy reweighting decoupling, and accurately stripping
environmental wind noise in a strong turbulent flow environment.