Application of enhanced methods for safety assessment of FADEC

• Autorzy: Hlinka Jiri , Kostial Rostislav , Horpatzka Michaela

Identyfikatory

DOI

10.17531/ein.2021.1.7

• Języki publikacji: EN

Abstrakty

EN

The paper deals with safety and reliability assessment as an integral part of the development process for modern aviation products with potentially critical functions. Focus is on digital engine control units, their development process and tools offering potential savings in otherwise time demanding and expensive safety assessment processes. The paper shows application of several approaches, which together form an innovative way for safety assessment of aerospace products (otherwise strictly limited by regulation procedures). It is focused on practical ways towards reduction of development costs during safety assessment, which do not compromise its comprehensiveness. Described approaches are based on experience from development of numerous aerospace products in last nearly 20 years. As an addition, possibility to further enhance the proposed innovative effect classification by application of FMECA was shown. Possible methods for quantitative assessment using Fuzzy logic and/or multiple-criteria decision analysis were discussed.

Słowa kluczowe

EN

Full Authority Digital Engine Control; FADEC; aircraft; safety assessment; reliability

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2021
• Tom: Vol. 23, no. 1
• Strony: 63--73
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Hlinka Jiri

• Institute of Aerospace Engineering, Brno University of Technology, Technicka 2896/2 616 69 Brno Czech Republic (PPI)
• Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany

autor

Kostial Rostislav

• Institute of Aerospace Engineering, Brno University of Technology, Technicka 2896/2 616 69 Brno Czech Republic (PPI)
• Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany

autor

Horpatzka Michaela

• Institute of Aerospace Engineering, Brno University of Technology, Technicka 2896/2 616 69 Brno Czech Republic (PPI)
• Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany

Bibliografia

• 1. Aircraft Engines. Aircraft Engines - PBS. [https://www.pbs.cz/en/our-business/aerospace/aircraftgines].
• 2. Airworthiness Standards: Normal, Utility, Acrobatic, and Commuter Category Airplanes. FAA 14 CFR Part 23
• 3. AMC 25.1309 System design and analysis. EASA CS-25 Amendment 21. 2018.
• 4. Başhan V, Demirel H, Gul M. An FMEA-based TOPSIS approach under single valued neutrosophic sets for maritime risk evaluation: the case of ship navigation safety. Soft Comput 2020, https://doi.org/10.1007/s00500-020-05108-y
• 5. Bluvband Z, Grabov P. Failure Analysis of FMEA. 2009 Annual Reliability and Maintainability Symposium 2009; 344-347, https://doi.org/10.1109/RAMS.2009.4914700.
• 6. Certification Specification for Sailplanes and Powered Sailplanes. EASA CS-22 Amendment 2, 2009.
• 7. Certification Specification for Normal-Category Aeroplanes. EASA CS-23 Amendment 5, 2017.
• 8. Chang K H, Cheng C H. A risk assessment methodology using intuitionistic fuzzy set in FMEA. International Journal of Systems Science 2010; 41; 1457-1471, https://doi.org/10.1080/00207720903353633.
• 9. Chen B, Li C, Li Y, Wang A. Reliability analysis method of an aircraft engine FADEC system. 8th International Conference on Reliability, Maintainability and Safety 2009; 8: 289-292, https://doi.org/10.1109/ICRMS.2009.5270188.
• 10. Data Definition Standard - English- Attribute Values. ICAO ECCAIRS Aviation 1.3.0.12. 2013.
• 11. DO-178C Software Considerations in Airborne Systems and Equipment Certification. RTCA
• 12. FADEC Comes Of Age. [https://www.planeandpilotmag.com/article/fadec-comes-of-age/?start=1].
• 13. Gerdes M, Galar D, Scholz D. Decision trees and the effects of feature extraction parameters for robust sensor network design. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2017; 19 (1): 31-42, https://doi.org/10.17531/ein.2017.1.5.
• 14. Guidelines and methods for Conducting the Safety Assessment Process on Civil Airborne Systems and Equipment. SAE ARP 4761, 1996.
• 15. Hjelmgren K, Svensson S, Hannius O. Reliability analysis of a single-engine aircraft FADEC. International Symposium on Product Quality and Integrity; 1998 Jan 19-22; Anaheim., https://ieeexplore.ieee.org/document/653811/references#references.
• 16. Holub R, Vintr Z. Spolehlivost letadlove techniky (Dependability of aircraft). Brno University of Technology, electronic textbook, 2001.
• 17. IEC 60050-192:2015 International Electrotechnical Vocabulary (IEV) - Part 192: Dependability. International Electrotechnical Commission.
• 18. Janhuba L. The Integrated Method Utilizing Graph Theory and Fuzzy Logic for Safety and Reliability Assessment of Airborne Systems. Brno University of Technology; 2018, https://doi.org/10.13164/conf.read.2018.4.
• 19. Kornecki A, Zalewski J. Software certification for safety-critical systems: A status report. 2008 International Multiconference on Computer Science and Information Technology Wisia, 2008, https://doi.org/10.1109/IMCSIT.2008.4747314.
• 20. Li J, Wang Z, Ren Y, Yang D, Lv X. A novel reliability estimation method of multi-state system based on structure learning algorithm. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22 (1): 170-178, https://doi.org/10.17531/ein.2020.1.20.
• 21. Li N, Lu Z, Zhou J. Reliability assessment based on Bayesian networks for full authority digital engine control systems. 11th International Conference on Reliability, Maintainability and Safety (ICRMS) 2016; 11, https://doi.org/10.1109/ICRMS.2016.8050158.
• 22. Liang H, Zhang S, Wei Z, Shao N. System Safety Analysis of a Full Authority Digital Engine Control System. International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) 2017, https://doi.org/10.1109/SDPC.2017.109.
• 23. Liu H C. FMEA using uncertainty theories and MCDM methods. FMEA Using Uncertainty Theories and MCDM Methods. Springer, 2016; 13-27, https://doi.org/10.1007/978-981-10-1466-6_2.
• 24. Lu Z, Liang X, Zuo M J. Markov process based time limited dispatch analysis with constraints of both dispatch reliability and average safety levels. Reliability Engineering & System Safety 2017, 167: 84 - 94, https://doi.org/10.1016/j.ress.2017.05.031.
• 25. Lu Z, Zhuo J, Li X. Monte Carlo simulation based time limited dispatch analysis with the constraint of dispatch reliability for electronic engine control systems. Aerospace Science and Technology 2018, 72: 397 - 408, https://doi.org/10.1016/j.ast.2017.11.023.
• 26. M250 turboshaft - RollsRoyce. [https://www.rolls-royce.com/products-and-services/civil-aerospace/helicopters/m250-turboshaft.aspx#/].
• 27. Pandian G, Das D, Li Ch, Zio E, Pecht M. A critique of reliability prediction techniques for avionics applications. Chinese Journal of Aeronautics 2018; 31(1): 10-20, https://doi.org/10.1016/j.cja.2017.11.004.
• 28. Prabhu S S, Kapil H, Lakshmaiah S H. Safety Critical Embedded Software: Significance and Approach to Reliability. 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, 2018, https://doi.org/10.1109/ICACCI.2018.8554566.
• 29. PT6 E-Series Engine - Pratt & Whitney. [https://www.pwc.ca/en/products-and-services/products/helicopter-engines/pt6c].
• 30. PT6C - Pratt and Whitney. [https://www.pwc.ca/en/products-and-services/products/helicopter-engines/pt6c].
• 31. Standard Practice for Safety Assessment of Systems and Equipment in Small Aircraft. ASTM F3230-17. 2017.
• 32. TM 5-698-4, Failure Modes, Effects and Criticality Analyses (FMECA) for Command, Control, Communications, Computer, Intelligence, Surveillance, and Reconnaissance (C4ISR) Facilities. Department of the Army. 2006, https://armypubs.army.mil/ProductMaps/PubForm/Details.aspx?PUB_ID=83559.
• 33. Youn W K, Hong S B, Oh K R, Ahn O S. Software certification of safety-critical avionic systems: DO-178C and its impacts. IEEE Aerospace and Electronic Systems Magazine 2015; 30(4):4-13, https://doi.org/10.1109/MAES.2014.140109.
• 34. Yu M N, Yu Z H, Jian H L, Xiao J Z. The optimization of RPN criticality analysis method in FMECA. 2009 International Conference on Apperceiving Computing and Intelligence Analysis 2009; 166-170, https://ieeexplore.ieee.org/document/5361125.
• 35. Zeng Z, Kang R, Chen Y. Using PoF models to predict system reliability considering failure collaboration, Chinese Journal of Aeronautics 2016; 29(5): 1294-1301, https://doi.org/10.1016/j.cja.2016.08.014.
• 36. Zio E, Fan M, Zeng Z, Kang R. Application of reliability technologies in civil aviation: Lessons learnt and perspectives. Chinese Journal of Aeronautics 2019; 32(1): 143-158, https://doi.org/10.1016/j.cja.2018.05.014.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).