Tools
Tools
Al-Azmi, A., Al-Habaibeh, A. 
ORCID: 0000-0002-9867-6011 and Redgate, J.,
2009.
Rapid design of tool-wear condition monitoring systems for turning processes using novelty detection.
International Journal of Manufacturing Technology and Management, 17 (3), pp. 232-245.
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Abstract
Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing an essential means to reduce cost, increase productivity, improve quality and prevent damage to the machine or workpiece. Turning operations are considered one of the most common manufacturing processes in industry. It is used to manufacture different round objects such as shafts, spindles and pins. Despite recent development and intensive engineering research, the development of tool wear monitoring systems in turning is still ongoing challenge. In this paper, force signals are used for monitoring tool-wear in a feature fusion model. A novel approach for the design of condition monitoring systems for turning operations using novelty detection algorithm is presented. The results found prove that the developed system can be used for rapid design of condition monitoring systems for turning operations to predict tool-wear.
| Item Type: | Journal article | ||||
|---|---|---|---|---|---|
| Publication Title: | International Journal of Manufacturing Technology and Management | ||||
| Creators: | Al-Azmi, A., Al-Habaibeh, A. and Redgate, J. | ||||
| Publisher: | Inderscience | ||||
| Date: | 2009 | ||||
| Volume: | 17 | ||||
| Number: | 3 | ||||
| Identifiers: |
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| Rights: | Copyright © 2009 Inderscience Enterprises Limited. | ||||
| Divisions: | Schools > School of Architecture, Design and the Built Environment | ||||
| Record created by: | EPrints Services | ||||
| Date Added: | 09 Oct 2015 10:17 | ||||
| Last Modified: | 09 Jun 2017 13:25 | ||||
| URI: | https://irep.ntu.ac.uk/id/eprint/10746 |
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