TY - GEN
T1 - A Hierarchical Fault Detection Method for Aerospace Embedded Software
AU - Yuan, Cangzhou
AU - Wu, Kangzhao
AU - Peng, Ran
AU - Zhan, Panpan
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Hierarchical fault detection
KW - Hierarchical fault model
KW - Single event upset
UR - https://www.scopus.com/pages/publications/85103244433
U2 - 10.1007/978-3-030-69069-4_11
DO - 10.1007/978-3-030-69069-4_11
M3 - 会议稿件
AN - SCOPUS:85103244433
SN - 9783030690687
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 124
EP - 138
BT - Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings
A2 - Wu, Qihui
A2 - Zhao, Kanglian
A2 - Ding, Xiaojin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020
Y2 - 17 September 2020 through 18 September 2020
ER -