• DocumentCode
    36608
  • Title

    Data Fusion and Fault Diagnosis for Flexible Arrayed pH Sensor Measurement System Based on LabVIEW

  • Author

    Jung-Chuan Chou ; Chin-Yi Lin ; Yi-Hung Liao ; Jie-Ting Chen ; Ya-Li Tsai ; Jia-Liang Chen ; Hsueh-Tao Chou

  • Author_Institution
    Grad. Sch. of Electron. & Optoelectron. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
  • Volume
    14
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1405
  • Lastpage
    1411
  • Abstract
    This paper concerns the data fusion (DF) and fault diagnosis (FD), which could increase the reliability of measured results when one sensing window was faulty. The flexible arrayed pH sensor was fabricated by radio frequency sputtering system and screen-printed technology, which the ruthenium dioxide was deposited on the polyethylene terephthalate substrate as sensitive membranes and the miniature reference electrodes were fabricated by screen-printed technology. We measured pH buffer solutions for five times and the flexible arrayed pH sensor had a wide sensing range of pH 1-13 solutions. The average sensitivity and linearity were 47.70 mV/pH and 0.839, respectively. We used the Laboratory Virtual Instrumentation Engineering Workbench to do deficient diagnosis which could remove the fault sensing window. The average DF with FD, self-adaptive data fusion with FD and coefficient of variance data fusion with FD could increase sensitivity and linearity ~ 22% and 0.14, respectively.
  • Keywords
    electrochemical electrodes; electrochemical sensors; fault diagnosis; membranes; pH measurement; polymers; printing; reliability; ruthenium compounds; sensor arrays; sensor fusion; sputter deposition; virtual instrumentation; DF; FD; LabVIEW; Laboratory Virtual Instrumentation Engineering Workbench; RuO2; fault diagnosis; fault sensing window; flexible arrayed pH sensor measurement system; miniature reference electrode; pH buffer solution; polyethylene terephthalate substrate; radiofrequency sputtering system; reliability; screen-printed technology; self-adaptive data fusion; sensitive membrane deposition; Data integration; Electrodes; Linearity; Sensitivity; Sensor arrays; Data fusion; LabVIEW; arrayed pH sensor; fault diagnosis; ruthenium dioxide;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2296148
  • Filename
    6691904