Abstract:
In this paper we describe a method to recognize missing components on manufactured products. The proposed approach exploits the wavelet transform to extract features from...Show MoreMetadata
Abstract:
In this paper we describe a method to recognize missing components on manufactured products. The proposed approach exploits the wavelet transform to extract features from the acquired data, while the diagnosis is performed by means of a neural network. The results show that this method achieves an high recognition rate. At the same time the method allows to use a very cheap diagnostic system.
Date of Conference: 31 July 2005 - 04 August 2005
Date Added to IEEE Xplore: 27 December 2005
Print ISBN:0-7803-9048-2