Research Article
A Hierarchical Fault Detection Method for Aerospace Embedded Software
@INPROCEEDINGS{10.1007/978-3-030-69069-4_11, author={Cangzhou Yuan and Kangzhao Wu and Ran Peng and Panpan Zhan}, title={A Hierarchical Fault Detection Method for Aerospace Embedded Software}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={Hierarchical fault model Hierarchical fault detection Single event upset}, doi={10.1007/978-3-030-69069-4_11} }- Cangzhou Yuan
Kangzhao Wu
Ran Peng
Panpan Zhan
Year: 2021
A Hierarchical Fault Detection Method for Aerospace Embedded Software
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_11
Abstract
Monolithic fault detection methods have low accuracy for comprehensive faults detection, because they can only detect specific type of faults. Therefore, it is necessary to study the combination of fault detection methods to improve the detection accuracy. In this paper, based on the fault propagation on component-based aerospace embedded software architecture, we analyze occur reasons, manifestations and effects of instruction-, component- and system-level faults whose root cause is single event upset (SEU) which is the main reason of aerospace embedded software, and propose a hierarchical fault model to specify characteristics of the three levels faults. And based on the hierarchical fault model, a hierarchical detection method is proposed to combine the three levels monolithic fault detection methods. The experimental results show that the hierarchical fault detection method has higher fault detection accuracy than the monolithic fault detection methods for comprehensive faults detection.
