• DocumentCode
    446089
  • Title

    An automatic method to detect missing components in manufactured products

  • Author

    Acciani, G. ; Brunetti, G. ; Chiarantoni, E. ; Fornarelli, G.

  • Author_Institution
    Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy
  • Volume
    4
  • fYear
    2005
  • fDate
    July 31 2005-Aug. 4 2005
  • Firstpage
    2324
  • 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.
  • Keywords
    feature extraction; manufactured products; neural nets; production engineering computing; wavelet transforms; feature extraction; manufactured products; missing components detection; neural network; wavelet transform; Circuit testing; Data mining; Electronic equipment testing; Feature extraction; Humans; Inspection; Manufactured products; Manufacturing industries; Neural networks; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1556264
  • Filename
    1556264