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Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW
Department of Information Management, Transworld University, 1221 Zhennan Rd., Yunlin 64063, Taiwan
Graduate School of Electronic and Optoelectronic Engineering, National Yunlin University of Science and Technology, 123 University Rd., Yunlin 64002, Taiwan
* Author to whom correspondence should be addressed.
Received: 10 October 2013; in revised form: 19 November 2013 / Accepted: 11 December 2013 / Published: 13 December 2013
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
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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.
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.
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.