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http://dx.doi.org/10.3795/KSME-A.2013.37.6.797

Development of Moving Average Prediction Diagnostic Module for Vibration Parameter Influenced by Environmental Factors  

Oh, Se-Do (Dept. of Industrial & Management Systems Engineering, Kyung Hee Univ.)
Kim, Young-Jin (Dept. of Industrial & Management Systems Engineering, Kyung Hee Univ.)
Lee, Tae-Hwi (PSYLOGIC)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.37, no.6, 2013 , pp. 797-804 More about this Journal
Abstract
In this study, the authors develop a methodology for a diagnostic system with a vibration parameter that is influenced by environmental factors. The data tends to have a varying average over time. Often, these features are found in statistical data retrieved from a production line. If we utilize existing statistical techniques for these features, we could derive an incorrect diagnostic conclusion based on the different average values. To overcome the limitations of previous methods, the authors apply a function analyzed through regression analysis to predict the mean value and corresponding upper and lower limits at each stage. This technique also provides corresponding statistical parameters in varying dynamic means. To validate the proposed methods, we retrieve data from the engine assembly line of H Motors and verify the results.
Keywords
Engine Assembly; Fault Diagnosis; Vibration Signal; Auto-Correlation; Regression Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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