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The EEDM(Ensemle Empirical Mode Decomposition) combined with correlation coefficient was proposed for identify the fault of rolling bearing. First, the fault of rolling bearing vibration signal will be decomposed into several IMF components, in view of the illusive component may appear in EEDM components, respectively calculate each IMF components and the correlation between the original signal, then carry out spectrum analysis to each IMF components and pick up fault feature. Through the experimental failure data analysis of rolling bearing inner ring, the EEMD method is good for fault identification of rolling bearing.

Epicyclic gear trains have been broadly applied in engineering practice. In this paper, kinematic chains (K.C.) with single-joint (S.J.) were applied to innovative synthesis of the epicyclic gear trains. The method of the innovative synthesis of the epicyclic gear trains was presented. Not only the epicyclic gear trains in common uses were obtained, but some new types of epicyclic gear trains that are got difficultly by means of conventional combination method were gained. Thereby, a new way has been offered for the innovative synthesis of the epicyclic gear trains, at the same time, a way has also been offered for practical application of some multi-link kinematic chains gained by using the theory of type-number synthesis of the K.C. with S.J.. Examples show that the method presented in this paper is right and feasible, and the method is efficient and practical for the innovative synthesis of the epicyclic gear trains.

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