Sensors 2013, 13(12), 17281-17291; doi:10.3390/s131217281
Article

Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW

Received: 10 October 2013; in revised form: 19 November 2013 / Accepted: 11 December 2013 / Published: 13 December 2013
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Fault diagnosis (FD) and data fusion (DF) technologies implemented in the LabVIEW program were used for a ruthenium dioxide pH sensor array. The purpose of the fault diagnosis and data fusion technologies is to increase the reliability of measured data. Data fusion is a very useful statistical method used for sensor arrays in many fields. Fault diagnosis is used to avoid sensor faults and to measure errors in the electrochemical measurement system, therefore, in this study, we use fault diagnosis to remove any faulty sensors in advance, and then proceed with data fusion in the sensor array. The average, self-adaptive and coefficient of variance data fusion methods are used in this study. The pH electrode is fabricated with ruthenium dioxide (RuO2) sensing membrane using a sputtering system to deposit it onto a silicon substrate, and eight RuO2 pH electrodes are fabricated to form a sensor array for this study.
Keywords: fault diagnosis; data fusion; ruthenium dioxide; sensor array; LabVIEW
PDF Full-text Download PDF Full-Text [398 KB, uploaded 21 June 2014 10:56 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Liao, Y.-H.; Chou, J.-C.; Lin, C.-Y. Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW. Sensors 2013, 13, 17281-17291.

AMA Style

Liao Y-H, Chou J-C, Lin C-Y. Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW. Sensors. 2013; 13(12):17281-17291.

Chicago/Turabian Style

Liao, Yi-Hung; Chou, Jung-Chuan; Lin, Chin-Yi. 2013. "Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW." Sensors 13, no. 12: 17281-17291.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert