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Aiming at the situation in which state recognition of complicated equipment with early performance degradation is hard to realize, a new fusion decision-making method based on multiple features extraction is presented, which compounds with RVM and DSmT. Firstly,a method, based on time domain analysis and wavelet packet decomposition, is used to extract the signal's feature separately; secondly, basic belief assignment function is constructed based on the output of the RVM model; lastly, PCR6 combination rule of DSmT is used to combine the different conflicting evidences and make the final decision. The application in a certain aerial electromechanical device suggests the approach is available to solve the problem of high-conflict information fusion when early vibration fault happens,and the recognition results are effective and reliable. 