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Embedded Sensors for Health Monitoring of an Aircraft

  • Sudarsana Jena
  • Ankur GuptaEmail author
Chapter
  • 908 Downloads
Part of the Energy, Environment, and Sustainability book series (ENENSU)

Abstract

Modern aircraft systems are system of systems involving multidisciplinary engineering viz., aeronautical/aerospace, RF, computer science, electrical, electronics, mechanical and electromechanical, etc. The maintenance of such a system becomes complex when a system is to be operational on the 24 × 7 basis. Commercial aircraft travel thousands of miles everyday and restless schedule of takeoff, landing, and turn around to do it again. Similarly, military aircraft undergo rigorous and continuous operations during war and trial exercises. In both the cases, human lives are directly at risk if the aircraft maintenance is not proper. In addressing the aircraft system requirements, the normal tendency is to deal primarily with those elements of the aircraft system that relates directly to the aircraft performance for flying. At the same time, very little attention is given to periodic maintenance and aircraft health monitoring system until the system fails and needs breakdown maintenance. This breakdown maintenance consumes more resources in terms of time, cost, and manpower. With the advent of different embedded smart sensors, online health monitoring of such complex aircraft systems can be possible. The health of the different components of the aircraft systems can be monitored continuously and necessary preventive action can be taken immediately before it fails. This paper introduces the use of various embedded smart sensors to detect and monitor the health issues or failure of different components of the aircraft, ultimately enabling proactive maintenance to prevent aircraft subsystems/components from breakdowns.

Keywords

Embedded sensors Health monitoring Intelligent maintenance 

References

  1. Annamdas V, Soh CK (2006) Embedded piezoelectric ceramic transducers in sandwiched beams. Smart Mater Struct 15:538–549CrossRefGoogle Scholar
  2. Barr M (2009) Real men program in C. In: Embedded systems design, p 2. TechInsights (United Business Media). Retrieved 23 Dec 2009Google Scholar
  3. Barr M, Massa AJ (2006) Introduction. Programming embedded systems: with C and GNU development tools. O’Reilly, pp 1–2. ISBN 978-0-596-00983-0Google Scholar
  4. Chang C, James JS (1918) Metal-coated optical fiber damage sensors. Proc SPIE Int Soc Opt Eng 1993:138–144Google Scholar
  5. Claus RO, Gunther MF, Wang A, Murphy KA (1992) Extrinsic fabry-perot sensor for strain and crack opening displacement measurements from −200 to 900 ℃. Smart Mater Struct 1.  https://doi.org/10.1088/0964-1726/1/3/008CrossRefGoogle Scholar
  6. Collinson RPG (2002) Introduction to avionics systems. Springer, BerlinGoogle Scholar
  7. di Scalea FL et al (2002) Guided wave ultrasonics for NDE of aging aircraft components. Proc SPIE 4704:123–132CrossRefGoogle Scholar
  8. Du H, Klamecki BE (1993) Characterization of force sensors embedded in surfaces for manufacturing process monitoring. In: American society of mechanical engineers, production engineering division (Publication), vol 64, pp 207–216Google Scholar
  9. Du H, Klamecki BE (1999) Force sensors embedded in surfaces for manufacturing and other tribological process monitoring. J Manuf Sci Eng 121(4):739–748CrossRefGoogle Scholar
  10. Francioso L, De Pascali C, Casino F, Siciliano P, De Giorgi MG, Campilongo S, Ficarella A (2015) Embedded sensor/actuator system for aircraft active flow separation control. In: AISEM annual conference, vol XVIII, pp 1–4. IEEEGoogle Scholar
  11. Friswell MI, Inman DJ (2000) Sensor validation for smart structures. J Intell Mater Syst Struct 10(12):973–982CrossRefGoogle Scholar
  12. Gao H, Shi Y, Rose JL (2005) Guided wave tomography on an aircraft wing with leave in place sensors. Rev Prog QNDE AIP Proc 760:1788–1794Google Scholar
  13. Giurgiutiu V (2005) Tuned Lamb wave excitation and detection with piezoelectric wafer active sensors for structural health monitoring. J Intell Mater Syst Struct 16:291–305CrossRefGoogle Scholar
  14. Giurgiutiu V, Bao J, Zhao W (2003) Piezoelectric wafer active sensor embedded ultrasonics in beams and plates. Exp Mech 43:428–449CrossRefGoogle Scholar
  15. Grattan KTV, Sun T (2000) Fiber optic sensor technology: an overview. Sens Actuators A Phys 82:40–61CrossRefGoogle Scholar
  16. Güemes A (2013) SHM technologies, and applications in aircraft structures. In: Proceedings of the 5th international symposium on NDT in aerospace, 13–15 Nov 2013, SingaporeGoogle Scholar
  17. Güemes A, Fernandez-Lopez A, Fernandez P Damage detection in composite structures from fibre optic distributed strain measurements. In: Proceedings of the 7th European workshop on structural health monitoring, Nantes, France, 8–11 July 2014Google Scholar
  18. Hautamaki C, Zurn S, Mantell SC, Polla DL (2000) Embedded microelectromechanical systems (MEMS) for measuring strain in composites. J Reinf Plast Compos 19(4):268–277Google Scholar
  19. Hummel K, Tiedemann C, Peitsch D (2013) Determination of the pressure distribution and fluctuations of the transonic flow in a highly loaded compressor cascade. In: Proceedings of Deutscher Luft- und Raumfahrtkongress. Deutsche Gesellschaft f¨ur Luft- und Raumfahrt -Lilienthal-Oberth e.V.Google Scholar
  20. Ihn JB, Chang FK (2004a) Detction and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network. I Diagn Smart Mater Struct 13:609–620CrossRefGoogle Scholar
  21. Ihn JB, Chang FK (2004b) Detction and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: II. validation using tiveted joints and repair patches. Smart Mater Struct 13:621–630CrossRefGoogle Scholar
  22. Jin XD, Sirkis JS, Chung JK, Venkat VS (1998) Embedded in-line fiber etalon/bragg grating hybrid sensor to measure strain and temperature in a composite beam. J Intell Mater Syst Struct 9(3):171–181CrossRefGoogle Scholar
  23. Keilers CH, Chang FK (1995) Identifying delamination in composite beams using built-in piezoelectrics. J Intell Mater Syst Struct 6:649–672CrossRefGoogle Scholar
  24. Krantz DG, Belk JH (1997) Remotely queried wireless embedded microsensors in composites. Proc SPIE Int Soc Opt Eng 3044:219–226Google Scholar
  25. Krantz D, Belk J, Biermann PJ, Dubow J, Gause LW, Harjani R, Mantell S, Polla D, Troyk P (1999) Project update: applied research on remotely-queried embedded microsensors. Proc SPIE Int Soc Opt Eng 3673:157–164Google Scholar
  26. Lamb H (1917) On waves in an elastic plate. Proc R Soc A 93:114–120CrossRefGoogle Scholar
  27. Lin X, Yuan FG (2001) Dianostic Lamb waves in an integrated piezoelectric sensor/actuator plate: analytical and experimental studies. Smart Mater Struct 10:907–913CrossRefGoogle Scholar
  28. Lin M, Qing X, Kumar A, Beard S (2001) SMART layers and SMART suitcase for structural health monitoring applications. Proc SPIE 4332:98–106CrossRefGoogle Scholar
  29. Mal A, Chang Z (1998) NDE of rivet holes in aging aircraft components using lamb waves. Proc SPIE 3397:68–75CrossRefGoogle Scholar
  30. Matt H, Bartoli I, di Scalea FL (2005) Ultrasonic guided wave monitoring of composite wing skin-to-spar bonded joints in aerospace structures. J Acoust Soc Am 118:2240–2252CrossRefGoogle Scholar
  31. Mrad N, Xiao GZ Multiplexed fiber Bragg gratings for potential aerospace applications. In: Proceedings of the international conference on MEMS, NANO and smart systems. Banff, AL, Canada, 24–27 July 2005Google Scholar
  32. Murukeshan VM, Chan PY, Ong LS, Seah LK (2000) Cure monitoring of smart composites using fiber bragg grating based embedded sensors. Sens Actuators A 79(2):153–161CrossRefGoogle Scholar
  33. Murukeshan VM, Chan PY, Ong LS (2001) Intracore fiber Bragg gratings for strain measurement in embedded composite structures. Appl Opt 40(1):145–149CrossRefGoogle Scholar
  34. Ogisu T, Nomura M, Andou N, Takaki J, Song D, Takeda N (2000) Development of damage suppression system using embedded SMA foil sensor and actuator. Proc SPIE Int Soc Opt Eng 3991:62–73Google Scholar
  35. Pereira CM, Mattice MS, Testa R (2000) Intelligent sensing and wireless communications in harsh environments. Proc SPIE Int Soc Opt Eng 3990:194–203Google Scholar
  36. Rose JL (1999) Ultrasonic waves in solid media. Cambridge University Press, CambridgeGoogle Scholar
  37. Rose JL, Soley L (2000) Ultrasonic guided waves for the detection of anomalies in aircraft components. Mater Eval 50:1080–1086Google Scholar
  38. Sirkis JS, Chang C, Smith BT (1994) Low velocity impact of optical fiber embedded laminated graphite/epoxy panels. J Comp Mat 28(14):1347–1370CrossRefGoogle Scholar
  39. Udd E (1995) Fiber optic smart structures. Wiley (Interscience), New YorkGoogle Scholar
  40. Viktorov IA (1970) Rayleigh and Lamb waves. Plenum, New YorkGoogle Scholar
  41. Xiao Y, White RG, Aglietti GS (2005) Comparison of structural response and fatigue endurance of aircraft flap-like box structures subjected to acoustic loading. J Acoust Soc Am 117:2820–2834CrossRefGoogle Scholar
  42. Yang J, Chang FK (2006a) Detection of bolt loosening in C-C composite thermal protection panels. I Diagn Principle Smart Mater Struct 15:581–590CrossRefGoogle Scholar
  43. Yang J, Chang FK (2006b) Detection of bolt loosening in C-C composite thermal protection panels. II Exp Verif Smart Mater Struct 15:591–599CrossRefGoogle Scholar
  44. Yang M, Qiao P (2005) Modeling and experimental detection of damage in various materials using the pulse-echo method and piezoelectric sensor/actuators. Smart Mater Struct 14:1083–1100CrossRefGoogle Scholar
  45. Zhao X, Gao H, Zhang G, Ayhan B, Yan F, Kwan C, Rose JL (2007) Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization, and growth monitoring. Smart Mater Struct 16(4):1208CrossRefGoogle Scholar
  46. Zhou G, Sim LM (2002) Damage detection, and assessment in fiber-reinforced composite structures with embedded fibre optic sensors—a review. Smart Mater Struct 11:925–939CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Mechanical SciencesIndian Institute of Technology BhubaneswarBhubaneswarIndia

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