The invention relates to a fan
system resonance detection method and an intelligent electric appliance. The fan
system resonance detection method comprises the steps that a plurality of sensors are arranged on a fan
system; constructing a
simulation model of the fan system, importing the vibration signals collected by each A-type sensor into the
simulation model, and obtaining vibration data of the whole fan system by using a
modal extension method; establishing a digital twinborn model, and importing the
simulation model, vibration data of the whole fan system and vibration signals acquired by each A-type sensor into the digital twinborn model to obtain a result output by the digital twinborn model; comparing a result output by the digital twin model with a detection result of the B-type sensor, and updating the simulation model; and judging whether the current fan system resonates or not according to the ratio of the
maximum amplitude Smax of all the vibration signals of the fan system to S. According to the method, the
resonance problem of the fan system can be recognized in real time, then adjustment measures are triggered, abnormal
noise is reduced, and resonance generation nodes are recognized.