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 language | English |
|---|---|
| Title of host publication | 2021 26th International Conference on Automation and Computing |
| Subtitle of host publication | System Intelligence through Automation and Computing, ICAC 2021 |
| Editors | Chenguang Yang |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 6 |
| ISBN (Electronic) | 9781860435577 |
| ISBN (Print) | 9781665443524 |
| DOIs | |
| Publication status | Published - 15 Nov 2021 |
| Event | 26th International Conference on Automation and Computing - University of Portsmouth, Portsmouth, United Kingdom Duration: 2 Sep 2021 → 4 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
| Conference | 26th International Conference on Automation and Computing |
|---|---|
| Abbreviated title | ICAC 2021 |
| Country/Territory | United Kingdom |
| City | Portsmouth |
| Period | 2/09/21 → 4/09/21 |
| Internet address |
