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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
Keywords
Neural Network(신경망); Milling(밀링); Burr(버); Acoustic Emission(음향 방출); Wavelet Transform(웨이브렛 변환)
Issue Date
2006-08
Publisher
한국생산제조학회
Citation
한국공작기계학회 논문집, v. 15, No. 4, Page. 22 - 28
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.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00925868&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/108411
ISSN
2508-5093
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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