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Multiple-Sensor Detection System Design for Tea Identification Based on Mutual Information Array Optimization Scheme
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DOI：10.1109/JSEN.2023.3275378.png)
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Abstract
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In this article, a multimetal oxide sensor (MOS) detection system is developed for the identification of different grades of tea leaves. To cope with the interference brought by redundant information and further improve the detection capability of the system and reduce the number of sensors, sensor array optimization algorithms are further implemented. The main idea of sensor array optimization is to select sensors according to evaluation index which ranks the importance of sensors. This article optimizes the sensor array based on information theory. Specifically, a weighted modified mutual information (MI) optimization algorithm that simultaneously considers relevancy, redundancy, and complementarity is developed. The experimental results show that the weighted modified MI optimization method can obtain the best system performance with the minimum number of sensors.
Keywords:
Sensor arrays
Sensors
Sensor systems
Gas detectors
Mutual information
Costs
Sensor phenomena and characterization
Mutual information (MI)
odor detection
sensor array optimization
tea-grade identification
weighted modified MI
Journal
IF:
4.5
Papers:
2.2W
Citations:
7.3W
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Cited Papers
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