웨이브렛 변환을 이용한 밀링 버 생성 음향방출 모니터링
- Title
- 웨이브렛 변환을 이용한 밀링 버 생성 음향방출 모니터링
- Other Titles
- Acoustic Emission Monitoring of Milling Burr Formation Using Wavelet Transform
- Author
- 이성환
- Issue Date
- 2005-10
- Publisher
- 한양대학교 공학기술연구소
- Citation
- 공학기술논문집, v. 14, Page. 43-51
- 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 were 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.
- URI
- http://riet.hanyang.ac.kr/journal/174https://repository.hanyang.ac.kr/handle/20.500.11754/111672
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML