Fault Diagnosis of Tool Wear Based on Weak Feature Extraction and GA-B-spline Network
In view of the strong background noise involved in vibration signal of tool wear and the difficulty to obtain fault frequencies, so, it is important to de-noise before the further processing. However, the traditional de-noising methods, based on Gaussian noise assumption, lose here because the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2013-05-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/may_2013/P_1192.pdf |