In view of it is difficult to extract the fault features of rolling bearing under the strong noise interference, a rolling bearing fault diagnosis method was proposed based on variational mode decomposition and Teager energy enhanced spectrum. Firstly the original acceleration vibration signal of rolling bearing was decomposed by variational mode decomposition(VMD) to several narrowband components; Then according to the criterion of maximum kurtosis and correlation coefficient, the narrowband components containing the most fault characteristic information were chosen as the main components; Finally the teager energy enhanced spectrum of the selective narrowband components was calculated to extract the fault feature of rolling bearing．Simulation and practical examples show that the proposed diagnosis method can more effectively and accurately extract the early fault feature of rolling bearing and suppress noise interference and enhance impact characteristics，superior to the traditional envelope spectrum analysis and the diagnosis method based on empirical mode decomposition (EMD) and Teager energy spectrum.