A Review of Data Mining Technologies for Condition Based Monitoring for Machine Tools

Abstract:

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Looking at the high rates of production and the steep competition in the world market, it becomes quite essential that the fault control is done in a very efficient way. This article presents a summary on the maintenance, the monitoring techniques, and the diagnosis methods for the condition based maintenance of machine tools. The paper initially gives a brief introduction on the condition based maintenance of machine tools. In the next part, the various methods for the monitoring are discussed followed by the models for data mining. The paper concludes that most of the techniques have their own advantages and drawbacks, so a careful selection of the techniques is needed to form a proper monitoring system.

Info:

Periodical:

Edited by:

Kesheng Wang, Jan Ola Strandhagen and Dawei Tu

Pages:

155-162

DOI:

10.4028/www.scientific.net/AMR.1039.155

Citation:

K. S. Wang et al., "A Review of Data Mining Technologies for Condition Based Monitoring for Machine Tools", Advanced Materials Research, Vol. 1039, pp. 155-162, 2014

Online since:

October 2014

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$35.00

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