A Survey of PCB Defect Detection Algorithms
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the PCB. The presence of manufacturing defects in PCBs might affect the performance of the PCB and thereby the reliability of the electronic products. In th...
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| Veröffentlicht in: | Journal of electronic testing 2023-12, Vol.39 (5-6), p.541-554 |
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| creator | Lakshmi, Gayathri Sankar, V. Udaya Sankar, Y. Siva |
| description | Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the PCB. The presence of manufacturing defects in PCBs might affect the performance of the PCB and thereby the reliability of the electronic products. In this paper, the various challenges faced in identifying manufacturing defects along with a review of various learning methods employed for defect detection are presented. We compare the various techniques available in the literature for further understanding of the accuracy of these techniques in defect detection. |
| doi_str_mv | 10.1007/s10836-023-06091-6 |
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| subjects | Accuracy Algorithms Artificial intelligence CAE) and Design Circuit boards Circuits and Systems Classification Computer-Aided Engineering (CAD Defects Electrical Engineering Engineering Machine learning Manufacturing Manufacturing defects Printed circuits Reliability |
| title | A Survey of PCB Defect Detection Algorithms |
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