A New Circuit Detection Method and an Anomalous Frequency Recognition Algorithm

Autor: Jian Guo Jiang, Ting Yu, Wen Dan Xu, Zhi Wei Liu, Yuan Tian
Rok vydání: 2012
Předmět:
Zdroj: Applied Mechanics and Materials. :2634-2639
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.217-219.2634
Popis: The characteristics of the high-density circuits are high assembly density of the components and complex functions. It is difficult to detect the electrical defects by the existing optical techniques. The Electromagnetic Scan (EMScan) technology as a new detection method was introduced into the high-density circuit detection. For the new approach, the EMScan process was designed and its key techniques were analyzed. Meanwhile the corresponding recognition algorithm was given toward one of the key techniques determining the anomalous frequencies. The spectrums of the circuit board were transformed into a series of strings. Then according to the string comparison algorithm, the anomalous frequencies were determined. The experimental results show that it is feasible to apply the EMScan into the high-density circuit detection. The recognition algorithm is effective and can determine the anomalous frequencies accurately by this way.
Databáze: OpenAIRE