ARMA-based fault prediction method for aviation digital equipment

Wenda Yang; Xiangxi Wen; Minggong Wu; Zhe Zhang; Fugen Lin

doi:10.1117/12.2645796

23 November 2022 ARMA-based fault prediction method for aviation digital equipment

Wenda Yang, Xiangxi Wen, Minggong Wu, Zhe Zhang, Fugen Lin

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123020X (2022) https://doi.org/10.1117/12.2645796
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

With the improvement of the integration of digital circuit chips, its complex structure makes the failure model and failure mechanism more and more complicated, which brings more challenges to the fault detection and prediction of digital circuits. This paper analyzes the failure prediction methods of different data collection sources, divides the prediction methods into four categories, and introduces the failure prediction methods for different data collection. This paper introduces the BIC-based model ranking flow chart. The forecasting techniques based on the Autoregressive Moving Average (ARMA) model are highlighted. The 550 simulation results show that the ARMA model is in good agreement with the measured results.

Citation Download Citation

Wenda Yang, Xiangxi Wen, Minggong Wu, Zhe Zhang, and Fugen Lin "ARMA-based fault prediction method for aviation digital equipment", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123020X (23 November 2022); https://doi.org/10.1117/12.2645796

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