• DocumentCode
    467682
  • Title

    Fault Data Mining on the Encoders in Numeric Control System Based on the Information Redundancy of Velocity

  • Author

    Xiao, Jin-zhuang ; Wang, Hong-rui

  • Author_Institution
    Hebei Univ., Baoding
  • Volume
    1
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    In order to arising the safety and reliability of numerical control system, aiming at the conventionally used encoders in the system as the equipment of feedback in position-loop, the data mining of its fault is analyzed. Benefiting from the reluctant information of velocity in the normal servo system, the principal component analysis is introduced to solving the fault of losing codes and pausing codes in the encoder. At the same time, the basic principles and flow process are presented. In order to validate the effectiveness of the mining way based on the software of Matlab, simulation shows that it can perform a very exact diagnosis at the time of fault occurring. This idea provides a believable way for the fault data mining in numeric control system.
  • Keywords
    data mining; numerical control; principal component analysis; reliability; safety; fault data mining; information redundancy; numerical control system; position-loop; principal component analysis; Computer numerical control; Control systems; Data mining; Feedback; Principal component analysis; Redundancy; Safety devices; Servomechanisms; Software performance; Velocity control; Encoder; Fault data mining; Numeric control; Principle component analysis; Velocity redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370202
  • Filename
    4370202