• DocumentCode
    3003910
  • Title

    Preliminary design and development of industrial inspection e-monitoring system

  • Author

    Basari, Abd Samad Hasan ; Idris, Anuar ; Herman, Nanna Suryana

  • Author_Institution
    Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka, Melaka, Malaysia
  • fYear
    2010
  • fDate
    11-12 June 2010
  • Firstpage
    209
  • Lastpage
    213
  • Abstract
    This paper discusses on the initial design and development of industrial inspection e-monitoring system (IIEMS). IIEMS is an intelligent web-based system that monitors defect occurs in the production line. The defect is collected from targeted machines, which are considered as the most critical one. By setting all the related parameters, defects will be logged into the system. Then, the system will send a message through email and personal data assistant (PDA) to the person in charge. An artificial neural network (ANN) will be used to classify the severity of the defect. According to the result, appropriate actions are performed. Throughout this paper, initial analysis, design and development of the system are explained. This includes the requirement analysis, logical and interface design. In the development phase, an early stage of the system development is reported. An overview of the system prototype and some observations based on the initial results are also discussed.
  • Keywords
    Internet; artificial intelligence; computerised monitoring; failure analysis; food processing industry; inspection; neural nets; production engineering computing; artificial neural network; email; industrial inspection e-monitoring system; intelligent Web-based system; interface design; personal data assistant; system development; Inspection; e-monitoring; industrial inspection; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Information Technology (ICNIT), 2010 International Conference on
  • Conference_Location
    Manila
  • Print_ISBN
    978-1-4244-7579-7
  • Electronic_ISBN
    978-1-4244-7578-0
  • Type

    conf

  • DOI
    10.1109/ICNIT.2010.5508527
  • Filename
    5508527