• DocumentCode
    2563788
  • Title

    Applying RFID hand-held device for factory equipment diagnosis

  • Author

    Chen, Kai-Ying ; Liao, Yu-Huei ; Tien, Fan-Chih

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1209
  • Lastpage
    1213
  • Abstract
    This paper proposes a new hand-held device application that incorporates an RFID with monitoring system with a fuzzy-rule-based inference into a hand-held device. The designed process follows: firstly, the machine status is displayed in the monitoring system, and when the machine has some problems, PDA users are informed; then, the PDA users can obtain information from the tags by PDA reader and use the fuzzy rules to infer the reasons of breakdown and which part of this machine should be repaired. By means of that the breakdown machine can be repaired immediately when PDA users are informed. After repairing the machine, the new rule is transmitted to other PDA users and central database by replication. This paper shows that applying RFID hand-held device in factory equipment diagnosis can make a big increase on work efficiency.
  • Keywords
    computerised monitoring; fuzzy set theory; inference mechanisms; production engineering computing; radiofrequency identification; PDA users; RFID hand-held device; central database; factory equipment diagnosis; fuzzy-rule-based inference; monitoring system; radio frequency identification; Computerized monitoring; Control systems; Databases; Electric breakdown; Fuzzy logic; Fuzzy systems; Object recognition; Personal digital assistants; Production facilities; Radiofrequency identification; Equipment Diagnosis; Fuzzy Rules; PDA; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5345892
  • Filename
    5345892