Intelligent Real-Time Monitoring of CNC Tool Wear based on Fractional-Order Chaotic Self-Synchronization of Error Dynamics
碩士 === 國立勤益科技大學 === 電機工程系 === 105 === This paper is focused on the study of cutting tool wear condition. Since tool failure is inevitable after prolonged use, a real-time monitoring system is required to increase productivity and identify tool wear condition early. To improve the problem of judging...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/cwhdpb |