Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process
Tool condition monitoring (TCM) in numerical control machines plays an essential role in ensuring high manufacturing quality. The TCM process is conducted according to the data obtained from one or more of a variety of sensors, among which acoustic sensors offer numerous practical advantages. Howeve...
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Veröffentlicht in: | Journal of intelligent manufacturing 2022, Vol.33 (1), p.247-258 |
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Sprache: | eng |
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