Abstract
The existing print circuit board (PCB) short circuit fault detection schemes can only detect the presence of a short circuit network, but not the specific location of the short circuit. To solve this problem, we have determined a scheme based on near field magnet specific point detecting. First, we test the existence of a short circuit network using the short circuit detection algorithm. Second, a high frequency voltage is applied to excite the detected short circuit network, and the arranged near-field magnetic sensors above the PCB detect the peak value of the magnetic field. This technique can be utilized to precisely position the short circuit point on the PCB. The simulation results show that the scheme is operational and can effectively locate the short circuit point position.
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Acknowledgement
The research is supported by National High Technology Research and Development Program of China (No. 2013AA040404), National Natural Science Foundation of China (No. 61572144), Guangdong Province Natural Science Foundation (No. 2014A030313386), Guangdong Universities Scientific Innovation Project (No. 2013KJCX0018), Guangdong Province Science Technology Plan Foundation (No. 2012B091100161), and the Fundamental Research Funds for the Central Universities of Jinan University (No. 21615439).
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Huang, S., Zeng, J., Zhou, H., Liu, Z., Zhou, Y. (2016). A PCB Short Circuit Locating Scheme Based on Near Field Magnet Specific Point Detecting. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_56
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DOI: https://doi.org/10.1007/978-981-10-0356-1_56
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