The invention provides an early-warning method for gear case bearing faults of a wind turbine generator system. The method comprises the following steps: collecting SCADA operation data, selecting parameters, analyzing parameter correlation, determining target variables and analysis variables, conducting interval analysis of the target variables, conducting target variable cluster statistic analysis, and determining states of a wind turbine generator system, wherein the selected parameters include gear case bearing temperature, gear case oil temperature, average wind speed, generator rotatingspeed and active power, correlation coefficients between the parameters are calculated, interval analysis is conducted by taking the analysis variables as an x-axis and the target variables as a y-axis, cluster statistic analysis of the target variables in the same interval is conducted, and whether gear case bearing faults of the wind turbine generator system exist is judged on the basis of faultalarm threshold values. According to the technical solution of the invention, an operation method is simple and highly efficient, the cost is not increased additionally, and fewer system resources are occupied.