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In order to monitor mechanical equipment operational condition, and then indentify the performance degradation, a performance degradation identification method based on MMFD and FCM is proposed in this paper. For this method, MMFD of mechanical equipment vibrating signal is calculated and chosen as performance degradation characteristic index first. Multi-fractal dimension of vibration signal can reflect the peaks’ non uniform probability distribution in the entire signal, and it can quantitative characterize the vibration intensity in the process of performance degradation. Compared with multi-fractal dimension, MMFD calculated based on mathematical morphology has a better performance in precision and computation speed. On this basis, in consideration of the fuzziness among different performance degradation, FCM is introduced into fuzzy clustering for characteristic index, and performance degradation could be recognized effectively. The rolling bearing whole life data verifies the validity of these methods above.