AIRCRAFT FAULT DIAGNOSIS SYSTEM DEVELOPMENT
Abstract
Dichotomizing algorithms of diagnostics and reconfiguration of the navigation system which process indicators of inertial, satellite and optical subsystems in real time for typical types of refusals are considered in the work. The given approach provides majority diagnostics of measuring system with system and hardware redundancy at a minimum necessary set of sensors. The main idea of a method is the comparative analysis of all measuring subsystems behind reference value. The reference value is the parameter which is synthesized from all diagnosable subsystems, in this work – a course corner. When obtaining the only parameter by gages of the different nature it is possible to provide firmness of an algorithm. Also reasonably the possibility of the introduction of optical systems with the use of algorithms of computer sight for ensuring system redundancy of the navigation system is described. The system is intended for identification only of one type of refusal for a unit of time. A positive factor of an invention is the universality that allows using system on any operating small autonomous aircraft. For the introduction of a system, there is no requirement in finishing the hardware. Use of system of failure diagnostics will reduce the risk of loss of the aircraft when performing a task, will increase its efficiency and accuracy of indicators. As a result of researches, the algorithmic dependence of signals of the navigation system was established that allowed to make the analysis and diagnostics with the following renewal of the lost parameter thanks to system and hardware redundancy of devices. Practical use of the system in actual practice with an influence of artificially created obstacles and noise is shown. Developments in area of aircraft safety are necessary due to the need for an increase in level, at the emergence of emergency situations
Downloads
References
Mutuel, L. H., Speyer, J. L. (2017). Research on SINS/GPS/CNS fault-tolerant integrated navigation system with air data system assistance. Navigation. Journal of the institute of navigation, 49, 35–44.
Kim, Y., Hwang, D.-H. (2016). Vision/INS Integrated Navigation System for Poor Vision Navigation Environments. Sensors, 16 (10), 1672. doi: 10.3390/s16101672
Zhang, Y. (2008). On fault-tolerant navigation technique and its application in INS/GPS/Doppler integrated navigation system. 2008 27th Chinese Control Conference. doi: 10.1109/chicc.2008.4605457
Sari, A., Akkaya, M. (2015). Fault Tolerance Mechanisms in Distributed Systems. International Journal of Communications, Network and System Sciences, 8 (12), 471–482. doi: 10.4236/ijcns.2015.812042
Chen, M., Tao, G. (2015). Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone. IEEE Transactions on Cybernetics, 46 (8), 1851–1862. doi: 10.1109/tcyb.2015.2456028
Huang, W., Su, X. (2015). Design of a Fault Detection and Isolation System for Intelligent Vehicle Navigation System. International Journal of Navigation and Observation, 1–19. doi: 10.1155/2015/279086
Israel, K., Krishna, C. M. (2007). Fault tolerant systems. Amsterdam: Morgan Kaufmann Publishers is an imprint of Elsevier, 17–20.
Liu, Y., Cai, T., Yang, H., Liu, C., Song, J., Yu, M. (2016). The Pedestrian Integrated Navigation System with micro IMU/GPS/magnetometer/barometric altimeter. Gyroscopy and Navigation, 7 (1), 29–38. doi: 10.1134/s2075108716010089
Yu, G., Morel, J.-M. (2009). A fully affine invariant image comparison method. 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. doi: 10.1109/icassp.2009.4959904
Morel, J.-M., Yu, G. (2009). ASIFT: A New Framework for Fully Affine Invariant Image Comparison. SIAM Journal on Imaging Sciences, 2 (2), 438–469. doi: 10.1137/080732730
Copyright (c) 2017 Ivan Zhezhera, Ouissam Boudiba

This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal abides by the Creative Commons CC BY copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons CC BY, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.