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
Acoustic emission method for tool condition monitoring based on wavelet analysis
โ Scribed by Xiaozhi Chen; Beizhi Li
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 240 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0268-3768
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