The design of enhanced online condition monitoring systems for turning processes
by Abdulrahman Al-Azmi, Amin Al-Habaibeh
International Journal of Design Engineering (IJDE), Vol. 1, No. 2, 2008

Abstract: The increasing requirements of high quality and low cost of products have created an urgent need to implement new technologies in current automated manufacturing environments. Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the essential technologies that provide the competitive advantage in many manufacturing environments. This paper aims to developing an effective sensor fusion model for turning processes for the detection of tool wear. Multi-sensors combined with a novelty detection algorithm are used to detect tool wear and provide diagnostic and prognostic information. A novel approach using dynamic threshold is utilised to improve the accuracy of the novelty detection system. The results found indicate that the suggested approach provides a responsive and effective solution in monitoring tool wear in turning.

Online publication date: Fri, 07-Nov-2008

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