This paper presents a neural network application for on-line tool condition monitoring in a turning operation. A waveh:t technique was used to decompose dynamic cutting force signal into different frequency bands in time domain. Two features were extracted from the decomposed signal for each frequen
โฆ LIBER โฆ
On-line tool condition monitoring system with wavelet fuzzy neural network
โ Scribed by LI XIAOLI; YAO YINGXUE; YUAN ZHEJUN
- Book ID
- 110373011
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Weight
- 439 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0956-5515
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In recent past, several neural network models which employ cutting forces and AErms or their derivatives for estimation as well as classification of flank wear have been developed. However, a significant variation in mean cutting forces and AErms at the start of cutting operation for similar new too