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Monitoring End-Mill Wear and Predicting Tool Failure Using Accelerometers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Autoregressive models are fit to end-milling acceleration data and the Data Dependent Systems methodology is utilized to isolate the modal energies of the first and second multiples of the tooth ...
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