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
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