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 / Acciani, G.; Brunetti, G.; Chiarantoni, E.; Fornarelli, G.. - STAMPA. - (2005), pp. 2324-2329. (Intervento presentato al convegno International Joint Conference on Neural Networks, IJCNN 2005 tenutosi a Montreal, Canada nel July 31 - August 4, 2005) [10.1109/IJCNN.2005.1556264].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
