• DocumentCode
    3126855
  • Title

    Designing of expert system for troubleshooting diagnosis on Gas Chromatography GC-2010 by means of inference method

  • Author

    Suyanto ; Pancaputra, M. Abduh ; Wahyuono, Ruri Agung

  • Author_Institution
    Dept. of Eng. Phys., Sepuluh Nopember Inst. of Technol., Surabaya, Indonesia
  • Volume
    1
  • fYear
    2011
  • fDate
    4-7 Aug. 2011
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    Gas Chromatography (GC) is used to analyze various products of volatile materials such natural gas, oils, pharmaceuticals, and foods. It is needed to control the quality of products till fulfill its requirements to be marketable. Therefore, maintenance is required to maintain the GC system running well. The expert system software for watering down the troubleshooting diagnosis on GC-2010 had been done by means of inference method. Based on the result of analysis, the probability of damage which often occurred are fluctuating pressure and high noise. The result of simulation show that the total time effectiveness using expert system software is 51.3% and the average step effectiveness to solve a problem in GC system is 21.5%.
  • Keywords
    chemical engineering computing; chromatography; expert systems; fault diagnosis; inference mechanisms; maintenance engineering; problem solving; quality control; GC-2010 system; expert system software; gas chromatography; inference method; probability; quality control; troubleshooting diagnosis; volatile materials; Engines; Expert systems; Gas chromatography; Instruments; Manuals; Production; Software; Effectiveness; Expert system; Gas Chromatography; Inference Method; Troubleshooting Diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-9985-4
  • Electronic_ISBN
    978-1-4244-9984-7
  • Type

    conf

  • DOI
    10.1109/URKE.2011.6007820
  • Filename
    6007820