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Clustering of sources of acoustic-emission signals by the leading-edge rise rate

✍ Scribed by L. N. Stepanov; I. S. Ramazanov; S. I. Kabanov; E. Yu. Lebedev; K. V. Kanifadin

Book ID
110210294
Publisher
SP MAIK Nauka/Interperiodica
Year
2009
Tongue
English
Weight
361 KB
Volume
45
Category
Article
ISSN
1061-8309

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The focus of this study is the development of a credible diagnosis system for the grinding process. The acoustic emission signals generated during machining were analyzed to determine the relationship between grinding-related troubles and characteristics of changes in signals. Furthermore, a neural