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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shi Hongyan Hu Hong |
| Copyright Year | 2007 |
| Description | Author affiliation: Harbin Inst. of Technol., Shenzhen (Shi Hongyan; Hu Hong) |
| Abstract | A novel cutting chatter monitoring method is presented by investigating the characteristics of probability density of the cutting system vibration response. When the cutting is stable, the vibration response can be regarded as random noise and the corresponding probability density function is normal distributed. However, sinusoidal components dominate the vibration response and its probability density function is U-shaped distributed when the cutting process experiences chatter. Thus the probability density of the vibration response is sensitive to cutting chatter and is employed as the monitoring parameter in this study. Neural network pattern recognition technique is introduced to recognize cutting chatter considering its excellent capability of classification. Experiments conducted on an engine lathe confirm that the probability density of the vibration response a suitable monitoring parameter and cutting chatter can be successfully detected by the proposed method. |
| Starting Page | 565 |
| Ending Page | 565 |
| File Size | 256587 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769528821 |
| DOI | 10.1109/ICICIC.2007.411 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Condition monitoring Ultrasonic variables measurement Neural networks Probability density function Signal processing Sensor phenomena and characterization Pattern recognition Analysis of variance Engines Frequency domain analysis |
| Content Type | Text |
| Resource Type | Article |
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