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TECHNICAL PAPERS

A New Method for Real-Time Tool Condition Monitoring in Transfer Machining Stations

[+] Author and Article Information
Ya Wu, Philippe Escande, R. Du

Dept. of Industrial Engineering, University of Miami, Miami, FL 33124

J. Manuf. Sci. Eng 123(2), 339-347 (Feb 01, 2000) (9 pages) doi:10.1115/1.1334859 History: Received November 01, 1997; Revised February 01, 2000
Copyright © 2001 by ASME
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References

Figures

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A typical power signal from a transfer drilling station
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(a) The filtered signal of the signal shown in Fig. 1—using Chebyshev type I filter with a cut-off frequency of 20 Hz; (b) the filtered signal of the signal shown in Fig. 1—using Chebyshev type I filter with a cut-off frequency between 12–30 Hz
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Illustration of the structural modeling of a signal
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The residual series and its FFT spectrum after the structural modeling of the signal shown in Fig. 1
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The wavelet packet transform of the signal shown in Fig. 1
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The feature packets of the signal shown in Fig. 1
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The reconstructed signal using feature packets and the errors corresponding to the signal shown in Fig. 1
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Illustration of the threshold crossing of a random signal and the corresponding binary time series
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An example of threshold band
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The schematic of the experiment setup for monitoring of the transfer drilling station
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Illustration of the three stages of tool wear and the sampling scheme in the experiment
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An example of new tool data against the alarm threshold bands
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An example of worn tool data against the alarm threshold bands

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