Expert SHM and CM of Turbojet Engine FCU Using Instantaneous Angular Speed Signal

  • Mirosław WitośEmail author
  • Mariusz Zieja
  • Mariusz Żokowski
  • Jarosław Kozdra
  • Daniel Pawłowski
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 15)


The control quality and technical condition of the engine control system (fuel control unit, FCU) plays a key role in the safe operation of aircraft. The article presents a comprehensive approach to diagnosing FCU in transient states. At the beginning, examples of damage to aircraft engines caused by FCU’s incorrect work were presented, and the difference in perception of FCU by the designer and diagnostician was indicated. A transfer of the status observer was proposed for a reliable diagnosis of the FCU technical condition (reverse problem). Instead of registering and analysing several parameters (including pressure and fuel flow, exhaust temperature, pressure, etc.) and temperatures at the inlet to the combustion chamber) in steady states, the registration of the instantaneous angular speed (IAS) in the transient states of the engine and the analysis of its parameters on the phase plane is proposed. Next, the methodology of active experiments was discussed, in which the functions of FCU components and new diagnostic symptoms were identified. The methodology for creating expert software has been approximated. Finally, the experience of the long-term operation of the method in Poland has been presented. The very high efficiency of the diagnostic method in identifying hidden FCU failures and regulation errors has been demonstrated, which is also influenced by human factors. The topics discussed will be illustrated by examples.


Transport Safety Control Fuel system Combustion SHM CM IAS Status observer Phase mapping System expert 


  1. Witos M (2011) Increasing the durability of turbine engines through active diagnostics and control. Res Works Air Force Inst Technol 29:1–324 (Pol.).
  2. Szczepankowski A, Szymczak J (2016) Initiation of damage to the hot part of aircraft turbine engines. Scholar
  3. Szczepankowski A (1999) Diagnosing of technical condition of turbine engine using rotational speed phase-mapping method. Ph.D. dissertation, ITWL Warszawa (Pol)Google Scholar
  4. Witos M, et al (2016) Structural health monitoring of aero-engines in non-stationary operations. Scholar
  5. Kowalski M (2012) Phase mapping in the diagnosing of a turbojet engine. J Theor Appl Mech 50(4):913–921Google Scholar
  6. Klyachkin AL (1971) Theory of jet engines. Translation division foreign technology division WP-AFB, OhioGoogle Scholar
  7. Sangwian S (2011) Multivariable sliding mode control design for aircraft engines. ETD Archive. Paper 646Google Scholar
  8. Belapurkar RK (2012) Stability and performance of propulsion control systems with distributed control architectures and failures. Dissertation, The Ohio State UniversityGoogle Scholar
  9. Wolovich WA (1994) Automatic control systems. Basic analysis and design. Saunders College Publishing, Harcurt Brace Collage Publishing, International EditionGoogle Scholar
  10. Kaczorek T (1996) Teoria sterowania i systemów. Wydawnictwo Naukowe PWN, WarszawaGoogle Scholar
  11. Korbicz J et al (eds) (2002) Diagnostyka procesów. Modele Modele sztucznej inteligencji Zastosowania. WNT, WarszawaGoogle Scholar
  12. Cormen TH, et al (1990) Introduction to algorithms. The Massachusetts Institute of Technology. Polish edn. WNT, Warsaw 1997Google Scholar
  13. Witos M (2001) Diagnozowanie toru pomiarowego w rozproszonych systemach kontroli, Konferencja DPP 2001, Łagów Lubuski.
  14. Jazar RN (2010) Theory of applied robotics/kinematic, dynamics, and control, 2nd edn. Springer, New York. Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mirosław Witoś
    • 1
    Email author
  • Mariusz Zieja
    • 1
  • Mariusz Żokowski
    • 1
  • Jarosław Kozdra
    • 1
  • Daniel Pawłowski
    • 1
  1. 1.Air Force Institute of TechnologyWarsawPoland

Personalised recommendations