期刊
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
卷 28, 期 14, 页码 3866-3878出版社
WILEY
DOI: 10.1002/cpe.3745
关键词
exploratory data analysis; correlation analysis; Spearman correlation coefficient; p-value; vibration analysis; pump state
Correlation analysis is both popular and useful in a number of social networking research, particularly in the exploratory data analysis. In this paper, three well-known and often-used correlation coefficients, Pearson product-moment correlation coefficient, Spearman, and Kendall rank correlation coefficients, are compared from definition to application domain. Based on the characteristics of the pump's vibration dataset, the non-parametric and distribution-free Spearman rank correlation coefficient is introduced to analyze the relationship between the pump's working state and each of the 207'880 variables. The percentage of variables and exact variables' tables with high Spearman's correlation coefficients for states I and II, states I and III, states II and III, and three states in different files are obtained respectively, which has important valuation for the future research of the unsupervised machine learning system. Copyright (C) 2015 John Wiley & Sons, Ltd.
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