Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
웨이브렛 변환을 이용한 밀링 버 생성 음향방출 모니터링Acoustic Emission Monitoring of Milling Burr Formation Using Wavelet Transform
- Other Titles
- Acoustic Emission Monitoring of Milling Burr Formation Using Wavelet Transform
- Issue Date
- Aug-2006
- Publisher
- 한국생산제조학회
- Keywords
- Neural Network(신경망); Milling(밀링); Burr(버); Acoustic Emission(음향 방출); Wavelet Transform(웨이브렛 변환); Neural Network(신경망); Milling(밀링); Burr(버); Acoustic Emission(음향 방출); Wavelet Transform(웨이브렛 변환)
- Citation
- 한국생산제조학회지, v.15, no.4, pp 22 - 28
- Pages
- 7
- Indexed
- KCI
- Journal Title
- 한국생산제조학회지
- Volume
- 15
- Number
- 4
- Start Page
- 22
- End Page
- 28
- ISSN
- 2508-5093
2508-5107
- Abstract
- Detection of exit burr is very important in manufacturing automation. In this paper, acoustic emission(AE) was used to detect the burr formation during milling. By using wavelet transformation, AE data was compressed without unnecessary details. Then the transformed data were used as selected features(inputs) of a back-propagation artificial neural net. In order to validate the proposed scheme, the wavelet based ANN results were compared with cutting condition(cutting speed, feed, depth of cut, etc.) based ANN results.
- Files in This Item
- Go to Link
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Lee, Seoung Hwan
- ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)