The invention provides a fan
tower inherent frequency abnormity identification method, a storage medium and
electronic equipment, and belongs to the technical field of state monitoring and fault diagnosis of
wind power generation equipment, and the method comprises the steps: S1, collecting an acceleration
signal of a fan
tower, and carrying out the preprocessing of the acceleration
signal to eliminate a DC component; s2, performing grouping
processing on the preprocessed acceleration signals, performing
spectral analysis on each group of acceleration signals in sequence, and identifying alternative frequencies of each group in sequence in a preset
frequency band; s3, storing the continuously obtained alternative frequencies by adopting a sliding window mechanism, removing abnormal values in a window based on a statistical
anomaly detection method, and calculating to obtain an inherent frequency; and S4, comparing the inherent frequency with a reference inherent frequency, judging the health state of the
tower drum structure according to whether the relative error exceeds a preset threshold value or not, and triggering a corresponding alarm. According to the method, the defects of a traditional
peak value pickup method are overcome, and the credibility of a result obtained through real-time monitoring is higher.