文章基本信息

标题：DATA MINING APPROACH TO ASSESS CONDITION OF ROTATING MACHINE USING SOUND SIGNAL
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作者：MOHAMMED AREF ABDUL RASHEED ; MANSOUR NASER ALRAJA
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：80
期号：1
出版社：Journal of Theoretical and Applied
摘要：Retrieval of beneficial information, knowledge and development of new methods can be carried out using data mining for visualizing and analyzing the data. In the environment several kinds of data are present and can be converted into distinct patterns. In automobile, every rotating machine components emit some kind of sound signals. These signals are due to vibration or friction of the rotating machine components. The emitted sound signal contains noise as well as useful data. The useful data provides the significance information about the machine operational status and can be employed for condition assessment of a rotating machine. This paper aims to describe the condition of automobile rotating machine using data mining approach through sound signals.
关键词：Information System; Signal Processing; Data mining; MCI