Abstract
Aiming at the problem that the data communication standards of airborne equipment of different suppliers are obviously different and it is difficult to trace and identify the data transmission between them, it is proposed to standardize the data of airborne equipment based on OSA-CBM standard, create dynamic data models for transmission and static data models for tracing and identification in six functional blocks. In addition, the embedded data processing flow is designed to realize the functions of data acquisition, data processing and state detection in the embedded system. Through instantiation verification of typical embedded equipment on board, evaluate the performance difference between non standardized and standardized embedded equipment data, and verify the interoperability, traceability and identifiability of the data model. It lays a foundation for airborne equipment health management and fault diagnosis, and has engineering application value in airborne embedded equipment condition based maintenance strategy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ma, X., Wang, F., Chen, Y., Li, Y.: Intelligent fault diagnosis method of airborne computer based on health management technology. Comput. Measure. Control 27(11), 43–47 (2019)
Swearingen, K., Keller, K.: Health ready systems. In: Autotestcon 2007, pp. 625–631. IEEE (2007)
Sreenuch, T., Tsourdos, A., Jennions, I.K.: Distributed embedded condition monitoring systems based on OSA-CBM standard. Comput. Stand. Interfaces 35(2), 238–246 (2013)
Sreenuch, T., Jennions, I.: Design and evaluation of plug-and-play enabled IVHM architecture. SAE Int. J. Aerosp. 8(1), 123–136 (2015). https://doi.org/10.4271/2015-01-9001
Bayoumi, A., Cao, A., Mccaslin, R., et al.: An Extensible CBM Architecture for Naval Fleet Maintenance Using Open Standards (2015)
MIMOSA, OSA-CBM UML Specification 3.3.1 Release, Machine Information Management Open Systems Alliance, Tuscaloosa, AL (2010)
ISO, 13374-2 Condition Monitoring and Diagnostics of Machines—Data Processing, Communication and Presentation—Part 2: Data Processing, International Organization for Standardization, Geneva (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 Chinese Society of Aeronautics and Astronautics
About this paper
Cite this paper
Zhao, Y., Niu, W., Gao, B., Ma, Z., Yan, T., Cheng, Q. (2024). Research on Embedded Device Data Standardization Technology Based on OSA-CBM. In: Proceedings of the 6th China Aeronautical Science and Technology Conference. CASTC 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-8861-7_42
Download citation
DOI: https://doi.org/10.1007/978-981-99-8861-7_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-8860-0
Online ISBN: 978-981-99-8861-7
eBook Packages: EngineeringEngineering (R0)