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http://dx.doi.org/10.12673/jant.2020.24.4.314

Fault Detection through the LASAR Component modeling of PLD Devices  

Pyo, Dae-in (Department of Avionics engineering, Graduate School of Aeronautics, Information and Industry, Hanseo University)
Hong, Seung-beom (Department of Avionics engineering, Graduate School of Aeronautics, Information and Industry, Hanseo University)
Abstract
Logic automated stimulus and response (LASAR) software is an automatic test program development tool for logic function test and fault detection of avionics components digital circuit cards. LASAR software needs to the information for the logic circuit function and input and output of the device. If there is no component information, normal component modeling is impossible. In this paper, component modeling is carried out through reverse design of programmable logic device (PLD) device without element information. The developed LASAR program identified failure detection rates through fault simulation results and single-seated fault insertion methods. Fault detection rates have risen by 3% to 91% for existing limited modeling and 94% for modeling through the reverse design. Also, the 22 case of stuck fault with the I/O pin of EP310 PLD were detected 100% to confirm the good performance.
Keywords
Logic automated stimulus and response (LASAR); Component modeling; Programmable logic device (PLD); Joint electron device engineering council (JEDEC); Fault detection rate;
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