The vibration state detection data from the centrifuge equipment in high-speed operation usually presents obvious nonlinearity,normal distribution and the characteristics of large sample,and random fluctuations in the data make it difficult to capture the trend characteristics. In this paper,time sequence theory is used to analyze the vibration signal data gathered from the running centrifuge equipment. It uses the quantile of the sequence data to build the feature vector according to the symmetrical principle,and introduces the Euclidean distance function to construct similarity measure,and t...
