Back Propagation Wavelet Neural Network Based Prediction of Drill Wear from Thrust Force
暂无分享,去创建一个
Wei Zhang | Xu Yang | Hiroyuki Kumehara | Wei Zhang | H. Kumehara | Xu Yang
[1] Shih-Chieh Lin,et al. Drill wear monitoring using neural networks , 1996 .
[2] S. Tso,et al. Drill wear monitoring based on current signals , 1999 .
[3] Geok Soon Hong,et al. Using neural network for tool condition monitoring based on wavelet decomposition , 1996 .
[4] W. S. Lau,et al. In-process drill wear and breakage monitoring for a machining centre based on cutting force parameters , 1992 .
[5] T. I. Liu,et al. On-Line Detection of Drill Wear , 1990 .
[6] Debasis Sengupta,et al. Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques , 2007 .
[7] Chong Nam Chu,et al. Prediction of drill failure using features extraction in time and frequency domains of feed motor current , 2008 .
[8] Erkki Jantunen,et al. A summary of methods applied to tool condition monitoring in drilling , 2002 .
[9] Surjya K. Pal,et al. Drill wear monitoring using back propagation neural network , 2006 .
[10] Govekar,et al. Analysis of acoustic emission signals and monitoring of machining processes , 2000, Ultrasonics.
[11] D. E. Dimla,et al. Neural network solutions to the tool condition monitoring problem in metal cutting—A critical review of methods , 1997 .
[12] Issam Abu-Mahfouz,et al. Drilling wear detection and classification using vibration signals and artificial neural network , 2003 .
[13] Surjya K. Pal,et al. Flank wear prediction in drilling using back propagation neural network and radial basis function network , 2008, Appl. Soft Comput..
[14] Mauri Routio,et al. Tool wear and failure in the drilling of stainless steel , 1995 .
[15] Harold H. Szu,et al. Neural network adaptive wavelets for signal representation and classification , 1992 .
[16] Li Xiaoli,et al. On-line detection of the breakage of small diameter drills using current signature wavelet transform , 1999 .