• DocumentCode
    1076262
  • Title

    Weighted Data Fusion Use for Ruthenium Dioxide Thin Film pH Array Electrodes

  • Author

    Liao, Yi-Hung ; Chou, Jung-Chuan

  • Author_Institution
    Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Yunlin
  • Volume
    9
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    842
  • Lastpage
    848
  • Abstract
    Data fusion is a useful statistical method that can be applied to multiple sensors or array sensors in many fields. The pH value is a very important parameter in clinical diagnosis, industrial wastewater treatment using a hydrogen ion selective electrode or pH meter. In this study, the examined data fusion methods consist of the arithmetic average and weighted data fusion coefficients used to process the measured pH data. A ruthenium dioxide (RuO2) pH electrode was prepared. RuO2 thin films were deposited onto silicon substrate using a sputtering system. Eight RuO2 hydrogen ion selective electrodes were used to form pH array sensors. From the measurement process, we can simultaneously obtain eight data sets. The experimental results, using the data fusion weighted coefficients obtained a good measurement result even when an individual sensor failed within the array sensors.
  • Keywords
    chemical sensors; electrochemical electrodes; elemental semiconductors; hydrogen ions; pH measurement; ruthenium compounds; sensor arrays; silicon; sputtering; statistical analysis; thin films; RuO2; Si; arithmetic average; array sensor; hydrogen ion selective electrode; pH data measurement; ruthenium dioxide thin film pH array electrode; silicon substrate; sputtering system; statistical method; weighted data fusion coefficient method; Arithmetic; Clinical diagnosis; Electrodes; Hydrogen; Sensor arrays; Sensor fusion; Sputtering; Statistical analysis; Transistors; Wastewater treatment; Array sensor; data fusion; ion selective electrode; ruthenium dioxide; weighted coefficient;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2024045
  • Filename
    5075731