Rapid design of tool-wear condition monitoring systems for turning processes using novelty detection

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.

[img]
Preview
Text
200153_6540 Al-Habaibeh Postprint.pdf

Download (424kB) | Preview

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:
NumberType
10.1504/IJMTM.2009.023931DOI
Rights: Copyright © 2009 Inderscience Enterprises Limited.
Divisions: Schools > School of Architecture, Design and the Built Environment
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:17
Last Modified: 09 Jun 2017 13:25
URI: http://irep.ntu.ac.uk/id/eprint/10746

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year