LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Statistical Prediction and Quantification of Radiated Susceptibility for Electronic Systems PCB in Electromagnetic Polluted Environments

In this paper, a statistical method is proposed to analyze the radiated susceptibility of printed circuit boards (PCBs). The quantification of hazard severity is done by three levels, including performance… Click to show full abstract

In this paper, a statistical method is proposed to analyze the radiated susceptibility of printed circuit boards (PCBs). The quantification of hazard severity is done by three levels, including performance degradation, operation suspension, and physical damage. For detection of a fault, while the system is operating itself safely, threshold levels for decision of a performance suspension should be defined. Hypothetical operating voltage/current levels are proposed for each element of the system. These levels are estimated by using high-level information of the system and provide a statistical measure to find threshold/decision levels. The overall system fault is defined based on the entropy of faults in decision levels on the entire board. In addition, a simple method is proposed for checking the physical damage of the board due to high power microwave illumination. Verification is simply done by some full-wave simulations and measurements on a designed and implemented digital system PCB. The proposed method can be a fast and high-level check for the system PCB whether it satisfies a radiated susceptibility standard level or not.

Keywords: radiated susceptibility; prediction quantification; system; statistical prediction

Journal Title: IEEE Transactions on Electromagnetic Compatibility
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.