Will be chaotic time series prediction of Volterra into machinery fault diagnosis, made use of EMD and Volterra forecast parameters combination of singular value decomposition method to extract the characteristics of mechanical failure. This method is different from the traditional feature extraction methods, with the extraction of the characteristics of obvious advantages of simple calculation. The simulation signals and the actual signal test, the method can effectively extract the characteristics of mechanical failure.