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FOURIER AND WAVELET TRANSFORM FOR FLANK WEAR ESTIMATION — A COMPARISON

✍ Scribed by S.V. Kamarthi; S. Pittner

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
320 KB
Volume
11
Category
Article
ISSN
0888-3270

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✦ Synopsis

This article presents potential sensor data representation schemes for force and vibration signals in the context of flank wear estimation in turning processes. In particular, the performances of methods based on fast Fourier transforms (FFTs) and fast wavelet transforms (FWTs) are compared using data from turning experiments. This research, for the first time, studies the performance of these modern sensor data representation schemes for flank wear estimation on a common platform and provides a useful insight into their merits and drawbacks. The flank wear estimates are computed continually from the features extracted through each representation scheme by using a simple recurrent neural network architecture. The results can be used for selecting correct data representation schemes for flank wear estimation.

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