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Introduction of real-time digital processing techniques for the high-sensitivity GMI sensors
摘要： A new fully digital Giant Magneto-Impedance (GMI) sensor is presented. The design combines the off-diagonal configuration of the sensitive element with a real-time digital electronic conditioning based on a Software Defined Radio (SDR). Compared to a conventional implementation of these sensors, the proposed design exhibits key advantages. These include firstly the simplicity of obtaining a quasi-linear sensor response around the zero-field point without making use of a bias magnetic field and an offset cancelling device. Secondly, the potential of integration, the flexibility of reconfiguration as well as the low-noise and high-sensitivity are promising features of the developed concept. Noise performance of 1.8 pT/√Hz was obtained in the white noise region.
关键词： GMI sensors,digital processing techniques,off-diagonal
更新于2025-09-23 15:22:29
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[IEEE 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) - Fukuoka, Japan (2020.2.19-2020.2.21)] 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) - Photovoltaic Cell Defect Detection Model based-on Extracted Electroluminescence Images using SVM Classifier
摘要： Electroluminescence (EL) imaging is used to analyze the characteristics of solar cells. This technique provides various details about solar panel modules such as solar cell characteristics, materials used, health status, defects, etc. The derived features from solar panel images provide a significant source of information for photovoltaic applications such as fault detection assessment. In this work, a method for classifying between the normal and a defective solar cell was implemented using EL imaging with selected digital image processing techniques through the Support Vector Machine (SVM) classifier. The EL images are processed using feature extraction procedures. The system was observed to provide an accuracy of 95%. The algorithm presented was implemented in MATLAB R2019b programming environment.
关键词： photovoltaic module,solar panel,and support vector machine.,digital processing,image electroluminescence imaging
更新于2025-09-23 15:21:01