Al~traet--Detection of tool failure is very important in automated manufacturing. In this study, tool failure detection was conducted in two steps by using Wavelet Transformations and Neural Networks (WT-NN). In the first step, data were compressed by using wavelet transformations and unnecessary d
โฆ LIBER โฆ
Detection of tool failure in end milling
โ Scribed by Y.S. Tarng; M.C. Chen; H.S. Liu
- Book ID
- 103958111
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 581 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0924-0136
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