• DocumentCode
    3205401
  • Title

    Monitoring of industrial process using intelligent tomography system

  • Author

    Baloch, Taj Mohammad ; Chai, Yu Kiong

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. Petronas, Tronoh
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    1115
  • Lastpage
    1119
  • Abstract
    The paper presents the studies in electrical resistance tomography (ERT) and the implementation of ERT data acquisition system (DAS). The study of the system is carried out by performing lab experiment using adjacent strategy. Results obtained show the existence of the image of solid object in a vessel in different color with significant difference from surrounding ERT-DAS system hardware has been designed and implemented which was used to produce bi-directional current signals for system to measure voltage using adjacent strategy. Measured signals voltages are converted to digital data, saved in a data recording system (personal computer) hard disk and processed to develop the image of area surrounded by sensor using an image processing software. The system was fully controlled by a microcontroller PIC 16F877A.
  • Keywords
    computerised monitoring; computerised tomography; data acquisition; process monitoring; production engineering computing; ERT data acquisition system; PIC 16F877A; bi-directional current signals; data recording system hard disk; electrical resistance tomography; image processing software; industrial process monitoring; intelligent tomography system; microcontroller; Bidirectional control; Data acquisition; Electric resistance; Hardware; Intelligent systems; Monitoring; Signal design; Solids; Tomography; Voltage; Data Acquisition System; Electrical Resistance; Image processing; Microcontroller; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1355-3
  • Electronic_ISBN
    978-1-4244-1356-0
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658558
  • Filename
    4658558