Open AccessSimplified Machine Diagnosis Techniques with Absolute Deterioration Factor by Utilizing the Second Order Autocorrelation Function
Author(s) -
Kazuhiro Takeyasu
Publication year - 2019
Publication title -
business and management research
Language(s) - English
Resource type - Journals
eISSN - 1927-601X
pISSN - 1927-6001
DOI - 10.5430/bmr.v8n1p1
Subject(s) - bicoherence , autocorrelation , kurtosis , statistics , lag , mathematics , index (typography) , function (biology) , bispectrum , amplitude , computer science , physics , spectral density , computer network , quantum mechanics , evolutionary biology , world wide web , biology
Among many amplitude parameters, Kurtosis and Bicoherence are recognized to be the sensitive good parameters for machine diagnosis. In this paper, simplified calculation method of coefficient of autocorrelation function of 1st order lag is introduced, and new deterioration factor of correlation of four variables is introduced consecutively. New deterioration factor is an absolute index of deterioration factor. Three cases in which the rolling elements number is nine, twelve and sixteen are examined and compared. Varying N, the number of data, its characteristics are examined. When N is smaller, sensitivity is better. Therefore this parameter can be used as an index for the machine diagnosis of early failure stage especially.