Paper
21 November 2022 Avionics fault prediction and health management technology based on SJ-BIST
Wenda Yang, Minggong Wu, Xiangxi Wen, Senlin Wang, Fugen Lin, Jianping Li
Author Affiliations +
Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 1234008 (2022) https://doi.org/10.1117/12.2652755
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
Abstract
This paper summarizes and analyzes the typical architecture and evolution of fault prediction and health management technology. We introduce and analyze fault detection, fault diagnosis, and fault prediction functions to explore the architecture of fault prediction and health management systems. This experiment studies the fault prediction method based on solder joint-built in self-test (SJ-BIST). According to the actual monitoring circuit experiments, we adjusted the temperature of the circuit board to 50℃, 100℃, and 150℃ for the circuit board heating treatment for 10 seconds, verified the effectiveness of the SJ-BIST method, and are in line with the law of linear change. The slope of the fitted curve is consistent with the analysis result.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenda Yang, Minggong Wu, Xiangxi Wen, Senlin Wang, Fugen Lin, and Jianping Li "Avionics fault prediction and health management technology based on SJ-BIST", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 1234008 (21 November 2022); https://doi.org/10.1117/12.2652755
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data fusion

Resistance

Failure analysis

Data processing

Sensors

Field programmable gate arrays

Digital electronics

Back to Top