The invention discloses a steam turbine generator set vibration fault diagnosis method and device, and computing equipment. The method comprises the following steps: S1, collecting six types of fault vibration signals of a steam turbine generator set, namely rotor misalignment, rotor imbalance, bearing looseness, rotor collision and abrasion, oil film vortex motion, and steam vortex motion, then converting the fault vibration signals into discrete frequency spectrum amplitudes through Fourier transform, dividing the discrete frequency spectrum amplitudes into N main frequency bands according to energy characteristics, and performing fuzzification processing on an amplitude of each frequency band to obtain a fuzzification value; S2, establishing an information database, wherein each piece of information contains N input features, and dividing the information in the information database into a training set and a test set; S3, establishing an optimal support vector classifier model; S4, training the optimal support vector classifier model by using the training set, and performing a test verification by using the test set. According to the method, the optimal support vector classifier model is established for carrying out a steam turbine generator set vibration fault diagnosis, the architecture is simple, and the convergence is fast.