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Open AccessArticle
Missile Fault Detection and Localization Based on HBOS and Hierarchical Signed Directed Graph
by
Hengsong Hu
Hengsong Hu 1,
Yuehua Cheng
Yuehua Cheng 1
,
Bin Jiang
Bin Jiang 1,*
,
Wenzhuo Li
Wenzhuo Li 1 and
Kun Guo
Kun Guo 2
1
College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
2
Beijing Institute of Mechanical and Electrical Engineering, Beijing 100074, China
*
Author to whom correspondence should be addressed.
Aerospace 2024, 11(8), 679; https://doi.org/10.3390/aerospace11080679 (registering DOI)
Submission received: 26 June 2024
/
Revised: 13 August 2024
/
Accepted: 16 August 2024
/
Published: 17 August 2024
Abstract
The rudder surfaces and lifting surfaces of a missile are utilized to acquire aerodynamic forces and moments, adjust the missile’s attitude, and achieve precise strike missions. However, the harsh flying conditions of missiles make the rudder surfaces and lifting surfaces susceptible to faults. In practical scenarios, there is often a scarcity of fault data, and sometimes, it is even difficult to obtain such data. Currently, data-driven fault detection and localization methods heavily rely on fault data, posing challenges for their applicability. To address this issue, this paper proposes an HBOS (Histogram-Based Outlier Score) online fault-detection method based on statistical distribution. This method generates a fault-detection model by fitting the probability distribution of normal data and incorporates an adaptive threshold to achieve real-time fault detection. Furthermore, this paper abstracts the interrelationships between the missile’s flight states and the propagation mechanism of faults into a hierarchical directed graph model. By utilizing bilateral adaptive thresholds, it captures the first fault features of each sub-node and determines the fault propagation effectiveness of each layer node based on the compatibility path principle, thus establishing a fault inference and localization model. The results of semi-physical simulation experiments demonstrate that the proposed algorithm is independent of fault data and exhibits high real-time performance. In multiple sets of simulated tests with randomly parameterized deviations, the fault-detection accuracy exceeds 98% with a false-alarm rate of no more than 0.31%. The fault-localization algorithm achieves an accuracy rate of no less than 97.91%.
Share and Cite
MDPI and ACS Style
Hu, H.; Cheng, Y.; Jiang, B.; Li, W.; Guo, K.
Missile Fault Detection and Localization Based on HBOS and Hierarchical Signed Directed Graph. Aerospace 2024, 11, 679.
https://doi.org/10.3390/aerospace11080679
AMA Style
Hu H, Cheng Y, Jiang B, Li W, Guo K.
Missile Fault Detection and Localization Based on HBOS and Hierarchical Signed Directed Graph. Aerospace. 2024; 11(8):679.
https://doi.org/10.3390/aerospace11080679
Chicago/Turabian Style
Hu, Hengsong, Yuehua Cheng, Bin Jiang, Wenzhuo Li, and Kun Guo.
2024. "Missile Fault Detection and Localization Based on HBOS and Hierarchical Signed Directed Graph" Aerospace 11, no. 8: 679.
https://doi.org/10.3390/aerospace11080679
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