Tool Wear Condition Monitoring Based on Wavelet Packet Analysis and RBF Neural Network
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-65298-6_36
Reference16 articles.
1. Ertunc, H.M., Loparo, K.A.: A decision fusion algorithm for tool wear condition monitoring in drilling. Int. J. Mach. Tools Manufact. 41(9), 1347–1362 (2001)
2. Li, X.: A brief review: acoustic emission method for tool wear monitoring during turning. Int. J. Mach. Tools Manufact. 42(2), 157–165 (2002)
3. Rehorn, A.G., Jiang, J., Orban, P.E.: State-of-the-art methods and results in tool condition monitoring: a review. Int. J. Adv. Manufact. Technol. 26(7–8), 693–710 (2005)
4. Haber, R.E., Jiménez, J.E., Peres, C.R., et al.: An investigation of tool-wear monitoring in a high-speed machining process. Sens. Actuators A Phys. 116(3), 539–545 (2004)
5. Kopač, J., Šali, S.: Tool wear monitoring during the turning process. J. Mater. Process. Technol. 113(1), 312–316 (2001)
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1. Application of spindle power signals in tool condition monitoring based on HHT algorithm;The International Journal of Advanced Manufacturing Technology;2019-12-14
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