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.

An Automatic Method to Detect Missing Components in Manufactured Products

G. Acciani;E. Chiarantoni;G. Fornarelli
2005-01-01

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.
International Joint Conference on Neural Networks, IJCNN 2005
0-7803-9048-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/22588
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