Abstract
Universal lathes currently have a place in manufacturing industry. Its processing status monitoring is an urgent problem to be solved because it is related to the quality of produced products. Traditional monitoring methods mainly use vibration sensors to monitor a lathe. This paper proposes the use of a modulated signal bispectrum (MSB) method to analyse current signals of a AC motor, which can monitor the machining state of a lathe connected with a motor. It applies MSB to instantaneous current signals measured step by step in turning experiments of different cutting tools to obtain accurate modulation characteristics and their evolution behavior with a change of workpiece size and cutting depth, to realize the monitoring of machining status. Results show that MSB is more effective than envelope spectrum analysis in extracting the characteristic values of treatment states.
Original language | English |
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Title of host publication | Proceedings of IncoME-V & CEPE Net-2020 |
Subtitle of host publication | Condition Monitoring, Plant Maintenance and Reliability |
Editors | Dong Zhen, Dong Wang, Tianyan Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball |
Publisher | Springer, Cham |
Pages | 254-264 |
Number of pages | 11 |
Volume | 105 |
Edition | 1st |
ISBN (Electronic) | 9783030757939 |
ISBN (Print) | 9783030757953, 9783030757922 |
DOIs | |
Publication status | Published - 16 May 2021 |
Event | 5th International Conference on Maintenance Engineering: IncoME-V and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network: IncoME-V & CEPE Net-2020 - Zhuhai, China Duration: 23 Oct 2020 → 25 Oct 2020 Conference number: 5 |
Publication series
Name | Mechanisms and Machine Science |
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Publisher | Springer |
Volume | 105 |
ISSN (Print) | 2211-0984 |
ISSN (Electronic) | 2211-0992 |
Conference
Conference | 5th International Conference on Maintenance Engineering: IncoME-V and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network |
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Country/Territory | China |
City | Zhuhai |
Period | 23/10/20 → 25/10/20 |