Application of Neural Network Based Sensor Fusion in Drill Monitoring
نویسنده
چکیده
Abstract: The detection of tool failure is crucial point in intelligent manufacturing. The lifetime of large cutting tools can be forecasted but the failure of small sized tools is nearly unpredictable. A number of signatures accompanying excess wear or emerging failure are investigated. The application of sensor fusion by means of neural networks to the monitoring of small drills is described and the experimental results are discussed.
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