Fault-tolerant sensor integration for micro flow-sensor arrays and networks |
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| Authors: | Yan Liu Shimon Y Nof |
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| Affiliation: | 1. Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH 45435, USA;2. PRISM Center, School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN 47907-2023, USA;1. Graduate School of Engineering, Tohoku University, Sendai, Japan;2. Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan;3. Institute of Nano- and Biotechnologies, Aachen University of Applied Sciences, Jülich, Germany;1. National Key Laboratory of Science and Technology on Nano/Micro Fabrication Technology, Research Institute of Micro/Nano Science and Technology, Shanghai Jiao Tong University, 200240 Shanghai, China;2. International Laboratory for Adaptive Bio-nanotechnology, Suzhou Institute of Nano-tech and Nano-bionics, Chinese Academy of Science, 215123, Suzhou, China;3. Shanghai Institute of Measurement and Testing Technology, 1500 Zhangheng Road, 201203 Shanghai, China;1. Department of Biomedical Engineering, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan;2. Department of Electronic Engineering, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan;3. Institute of Nano- and Biotechnologies (INB), Aachen University of Applied Sciences, Heinrich-Mussmannstr. 1, D-52428 Jülich, Japan;1. Key Laboratory of Advanced Technologies of Materials, Ministry of Education of China, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, People''s Republic of China;2. Sichuan Aerospace Polytechnic, Chengdu 610031, People''s Republic of China;1. PRISM Center and School of Industrial Engineering, Purdue University, 315 N. Grant St., West Lafayette, IN 47907 USA;2. Department of Industrial Engineering & Management, Ben-Gurion University of the Negev, Beer-Sheva 84105 Israel |
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| Abstract: | Distributed micro flow-sensor arrays and networks (DMFSA/N), built from collections of spatially scattered, cooperating intelligent and redundant micro flow-sensor nodes, can improve the accuracy and reliability of system. However, it is unrealistic to expect all the sensor nodes and communication links in the system to function properly all the time. This paper is based on an earlier research, in which a DMFSA/N with a cluster architecture and fault-tolerant time-out Protocol (FTTP) was developed. In this paper, a fault-tolerant sensor integration algorithm (FTSIA) is proposed and evaluated in simulations. Experimental results showed that the FTSIA could always give reliable results even when certain portion of the sensors yielded faulty information. Furthermore, the results from FTSIA were significantly more accurate than the mean of sensor readings (popularly applied in industry) if some of the sensors produced faulty readings. Finally, the application of the proposed FTSIA is illustrated by measuring flow pressure using a pressure sensor array of eight sensors. |
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