Online Tool Condition Monitoring of CNC Turnings based on Motor Current Signature Analysis

Zhexiang Zou, Yubin Lin, Dongqin Lin, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The modulation signal bispectrum (MSB) algorithm is used to analyze the current signal of machine tool spindle motor. Practical cases are analyzed to show that the MSB value can reveal information regarding tool condition. As appropriate descriptors, amplitude and phase of MSBs are introduced to automatically identify tool conditions. Experiments are conducted on a CNC turning center, and the results of the analysis provide evidence for this method. The results demonstrate that the tool wear state can be monitored in the turning process by identifying the amplitude and phase of MSB. An increase in MSB phase value has higher robustness to identify the wear of rough machining tools and can be applied practically.

Original languageEnglish
Title of host publication2021 26th International Conference on Automation and Computing
Subtitle of host publicationSystem Intelligence through Automation and Computing, ICAC 2021
EditorsChenguang Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781860435577
ISBN (Print)9781665443524
DOIs
Publication statusPublished - 15 Nov 2021
Event26th International Conference on Automation and Computing - University of Portsmouth, Portsmouth, United Kingdom
Duration: 2 Sep 20214 Sep 2021
Conference number: 26
http://www.cacsuk.co.uk/index.php/icac2021
https://www.ieee-ras.org/conferences-workshops/technically-co-sponsored/icac
https://ieeexplore.ieee.org/xpl/conhome/9594055/proceeding

Conference

Conference26th International Conference on Automation and Computing
Abbreviated titleICAC 2021
Country/TerritoryUnited Kingdom
CityPortsmouth
Period2/09/214/09/21
Internet address

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