• DocumentCode
    2735276
  • Title

    Twin diagnostic method for industrial robot maintenance

  • Author

    Bencsik, Attila L.

  • Author_Institution
    Obuda Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    13-15 June 2012
  • Firstpage
    87
  • Lastpage
    89
  • Abstract
    Efficient system diagnostics has paramount significance in avoiding financial losses due to unexpected outages that may be caused by failures and/or damages. Proper maintenance strategies therefore need reliable technologies for observing erroneous operation and forecasting the potential consequences. With the exception of deliberate applications as braking etc. energy dissipation is undesired phenomenon in the operation of mechatronic devices. As a consequence, they are designed with the intent of minimizing dissipation as much as possible. The presence of intensive dissipation i.e. warming of various components normally conveys information on erroneous operation that may be caused by either mechanical or electrical components, or both. Combined application of thermometry and vibration analysis can effectively reveal the actual problem behind the symptoms and provides the users with good forecast. This method can be realized with relatively simple measuring apparatus. In the paper the details of this methodology are presented.
  • Keywords
    industrial robots; maintenance engineering; thermometers; vibrations; braking; energy dissipation; erroneous operation; financial loss avoidance; industrial robot maintenance; intensive dissipation; maintenance strategy; measuring apparatus; mechatronic device; system diagnostics; thermometry; twin diagnostic method; vibration analysis; Maintenance engineering; Mechatronics; Oscillators; Pneumatic systems; Service robots; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-2694-0
  • Electronic_ISBN
    978-1-4673-2693-3
  • Type

    conf

  • DOI
    10.1109/INES.2012.6249808
  • Filename
    6249808