Skip to Main Content
ASME Press Select Proceedings

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
Search for other works by this author on:
ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

A way of tool wear model definition is presented, which is the combination of wavelet packet transform for acoustic signal processing and artificial neural network for tool wear estimation.

An acoustic signal is chosen as an essential informational source of the process or the object under consideration. Measurement acoustic signals are processed using wavelet transform, which decomposes the acoustic signal into approximation and detail components at different levels. Wavelet transform decomposition is used to gather time-frequency-based information from acoustic signals. The artificial neural network is proposed as a tool of relation establishment between the results of wavelet decomposition and parameters of interest.

The results indicate that wavelet transform is an effective tool in the analysis of acoustic signals by providing information relative to the process under question. The performance of the method is demonstrated by means of numerical and experimental investigations.

The presented method implementation is prospective in on-line tool wear diagnostic system.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal