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http://dx.doi.org/10.12673/jant.2022.26.4.185

Preminary analysis of performance of avionics equipment using worst case analysis  

Cheon, Young-ho (Avionics and Drone R&D Lab, LIG Nex1)
Woo, Hui-Seung (Avionics and Drone R&D Lab, LIG Nex1)
Seo, Inn-beom (Avionics and Drone R&D Lab, LIG Nex1)
Ahn, Tae-Sik (Avionics and Drone R&D Lab, LIG Nex1)
Abstract
Avionics equipment requires various environmental conditions and performance during development, and as a countermeasure against such development risk, the worst-case circuit analysis(WCCA) is applied to predict perform preliminary performance analysis. WCCA calculates the maximum and minimum values by combining the parameter values of the relevant circuit after deriving the parameter values in consideration of the aging of the temperature and operating period at the component level. In this paper, the necessary matters for WCCA application are described. Chapter 2 describes the differences and characteristics of the WCCA techniques EVA, RSS, and Monte Carlo.Chapter 3 introduces the analysis process through the example circuit to introduce the actual analysis procedure. Chapter 4 describes the method of selecting an analysis technique for each condition of the analysis target. As a result of applying the procedures and analysis methods introduced in this paper when open, it was confirmed that preliminary performance analysis and part optimization design verification are possible.
Keywords
EVA; Monte Carlo; Preminary analysis; RSS; WCCA;
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