A Review of Data Mining Technologies for Condition Based Monitoring for Machine Tools
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.
Kesheng Wang, Jan Ola Strandhagen and Dawei Tu
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