Journal of the Korean Society of Propulsion Engineers (한국추진공학회지)

The Korean Society of Propulsion Engineers (한국추진공학회)
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A Survey on the Health Management Technology for Aircraft Gas Turbine Engine

항공기용 가스터빈 엔진의 건전성 관리기술 발전 동향

  • Park, Iksoo (The 4th R&D Institute - 5th Directorate, Agency for Defense Development) ;
  • Kim, Junghoe (The 4th R&D Institute - 5th Directorate, Agency for Defense Development) ;
  • Min, Seongki (The 4th R&D Institute - 5th Directorate, Agency for Defense Development)
  • Received : 2017.02.09
  • Accepted : 2017.04.21
  • Published : 2017.10.01
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Abstract

The technology for health management of gas turbine engine has grown with engine development itself for 60 years and regarded as important area for performance monitoring and maintenance of the system. This technology which is based on several areas such as advanced measurement technology, electronics, software technology and reliable system modeling is realized. This paper analyzed the past, current and future technical trend of a technically advanced country and compared with domestic research status. Based on the analysis, the key research topics for the realization of technology is suggested.

가스터빈 엔진의 건전성 관리기술은 엔진의 개발과 병행하여 60년간 지속적으로 발전한 분야로써 시스템 성능관측 및 유지보수 차원에서 매우 중요하게 다루어져왔다. 이 기술은 진보된 측정기술, 전자공학 및 소프트웨어 기술 그리고 신뢰성 있는 모델 개발과 같은 다양한 기술을 기반으로 하고 있으며, 각 분야의 기술적 발전에 힘입어 상용화 되었다. 본 논문에서는 선진국에서의 과거 건전성 관리기술 발전 역사를 되짚어 보고, 어떠한 연구로 현재까지 이어져 왔으며, 향후 어떻게 발전해 갈 것인지 살펴보았다. 마지막으로 국내의 연구동향을 살펴보고 선진국 대비 현재의 우리의 현황을 비교 분석함으로써, 관련 기술을 실용화 하고 체계화하기 위한 연구방향에 대해 제안하였다.

Keywords

References

  1. IATA, "AIRLINE MAINTENANCE COST EXECUTIVE COMMENTARY An Exclusive Benchmark Analysis (FY2014 data)," IATA's Maintenance Cost Task Force, 2015.
  2. Park, I.S., Hwang, K.Y. and Min, S.K., "Introduction to Engine Control and Technology Trend," Defense Science & Technology plus, Vol. 177, 2013.
  3. Link, C.J. and Jack, D.M., AIRCRAFT ENGINE CONTROLS DESIGN, SYSTEM ANALYSIS AND HEALTH MONITORING, AIAA EDUCATION SERIES, American Institute of Aeronautics and Astronautics, Inc., Reston, N.V., U.S.A., 2009.
  4. Isermann, R. and Balle, P., "Trends in the Application of Model-Based Fault Detection and Diagnosis of Technical Processes," Control Eng. Practice, Vol. 5, No. 5, pp. 709-719, 1997. https://doi.org/10.1016/S0967-0661(97)00053-1
  5. Volponi, A.J., "Gas Turbine Engine Health Management: Past, Present, and Future Trends," ASME Journal of Engineering for Gas Turbines and Power, Vol. 136, Issue 5, pp. 1-20, 2014.
  6. Jonathan, S.L. and Donald, L.S., "A Survey of Intelligent Control and health Management Technologies for Aircraft Propulsion Systems," NASA, TM-2005-213622, 2005.
  7. Steven, M.A. and Robert, K.G., "An Overview of Prognosis Health Management Research at GRC for Gas Turbine Engine Structures with Special Emphasis on Deformation and Damage Modeling," Annual Conference of the Prognostics and Health Management Society, San Diego, C.A., U.S.A., pp. 1-19, Oct. 2009.
  8. Link, C.J., "Recent Advancements in Aircraft Engine Health Management (EHM) Technologies and Recommendations for the Next Step," ASME Turbo Expo., Reno, N.V., U.S.A., GT2005-68625, Jun. 2005.
  9. Haldar, A. and Mahadevan, S., Probability, Reliability and Statistical Methods in Engineering Design, John Wiley & Sons, New York, N.Y., U.S.A., 2000.
  10. Tu, J., Choi, K.K. and Park, Y.H., "A New Study on Reliability-Based Design Optimization," Journal of Mechanical Design, Vol. 121, No. 4, pp. 557-564, 1999. https://doi.org/10.1115/1.2829499
  11. Merrington, G.L., "Fault Diagnosis of Gas Turbine Engines From Transient Data," Journal of Engineering for Gas Turbines and Power, Vol. 111, Issue 2, pp. 237-243, 1989. https://doi.org/10.1115/1.3240242
  12. Cyrus, B.M. and Rakesh, B., "Condition Monitoring and Diagnostic Aspects of Gas Turbine Transient Response," ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition, Germany, pp. 1-10, Jun. 1992.
  13. Merrington, G., Kwon, O.K., Goodwin, G. and Carlsson, B., "Fault Detection and Diagnosis in Gas Turbines," Journal of Engineering for Gas Turbines and Power, Vol. 113, No. 2, pp. 276-282, 1991. https://doi.org/10.1115/1.2906559
  14. Urban, L.A., "Gas Path Analysis Applied to Turbine Engine Conditioning Monitoring," Journal of Aircraft, Vol. 10, No. 7, pp. 400-406, 1972. https://doi.org/10.2514/3.60240
  15. Urban, L.A., "Gas Path Analyzer," U.S.3731070, 1973.
  16. Urban, L.A., "Parameter Selection for Multiple Fault Diagnostics of Gas Turbine Engines," Journal of Engineering for Power, Vol. 97. No. 7, pp. 225-230, 1974.
  17. Baswell, M.J., "COMPASS-Ground Based Engine Monitoring Program for General Application," SAE-TP-871734, 1987.
  18. Winston, H., "Integrating Numeric and Symbolic Processing for Gas Path Maintenance," 29th AIAA Aerospace Sciences Conference, Reno, N.V., U.S.A., AIAA-91-501, Jan. 1991.
  19. Doel, D.I., "TEMPER-A Gas-Path Analysis Tool for Commercial Jet Engines," Journal of Engineering for Gas Turbines and Power, Vol. 116, Issue 1, pp. 82-89, 1994. https://doi.org/10.1115/1.2906813
  20. Provost, M.J., "The Use of Optimal Estimation Techniques in the Analysis of Gas Turbines," Ph.D. thesis, School of Mechanical Engineering Department of Thermal Power, Cranfield University, Bedford, U.K., 1994.
  21. Borguet, S. and Leonard, O., "A Sparse Estimation Approach to Fault Isolation," ASME J. Eng. Gas Turb. Power, Vol. 132, No. 2, pp. 513-522, 2010.
  22. Kobayashi, T. and Simon, D.L., "Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics," ASME Turbine and Aeroengine Congress, Atlanta, G.A., U.S.A., Jun. 2003.
  23. Merrington, G.L., "Fault Diagnosis of Gas Turbine Engines From Transient Data," ASME Turbine and Aeroengine Congress, Amsterdam, Netherlands, Jun. 1989.
  24. Merrington, G., Kwon, O.K., Goodwin, G. and Carlsson, B., "Fault Detection and Diagnosis in Gas Turbines," ASME J. Eng. Gas Turb. Power, Vol. 13, No. 2, pp. 276-282, 1991.
  25. Tumer, I. and Bajwa, A., "A survey of Aircraft Engine Health Monitoring Systems," 35th Joint Propulsion Conference, Norfolk, V.A., U.S.A., AIAA-99-2528, Jun. 1999.
  26. Escher, P.C., "Pythia: An object-oriented Gas Path Analysis Computer Program for General Applications," Ph. D. Thesis, Cranfield University, U.K., 1995.
  27. Jaw, L.C. and Wu, D.N., "Anomaly Detection and Reasoning With Embedded Physical Model," 2002 IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2002.
  28. Cleary, D.J., Yu, L. and Cuddihy, P.E., "A Novel Approach to Aircraft Engine Anomaly Detection and Diagnostics," GE Global Research Report No. 2003GRC117, 2003.
  29. Brotherton, T. and Johnson, T., "Anomaly Detection for Advanced Military Aircraft Using Neural Networks," 2001 IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2001.
  30. Muir, D.M. and Howe, B., "In-Line Oil Debris Monitor (ODM) for the Advanced Tactical Fighter Engine," SAE Technical Paper 961308, 1996.
  31. Miller, J.L. and Kitaljevich, D., "In-Line Oil Debris Monitor for Aircraft Engine Condition Assessment," 2000 IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2000.
  32. Fisher, C., "Gas Path Debris Monitoring: A 21st Century PHM Tool," 2000 IEEE Aerospace Conference, M.T., March, 2000.
  33. Fisher, C., "Data and Information Fusion for Gas Path Debris Monitoring," 2001 IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2001.
  34. Pfoertner, H., "The Information Content of Turbine Engine Data - a Chance for Recording-based life Usage Monitoring," Proceedings of IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2002.
  35. Akers D.W. and Rideout C.A., "Measurement based prognostic Models for Service-induced Damage in Turbine Engine Components," Proceeding of IEEE Aerospace Conference, Big Sky, M.T., U.S.A., Mar. 2004.
  36. Volponi, A.J., Brotherton, T., Luppold, R. and Simon, D.L., "Development of an Information Fusion System for Engine Diagnostics and Health Management," JANNAF 39th Combustion/27th Airbreathing Propulsion/ 21st Propulsion Systems Hazards/3rd Modeling and Simulation Joint Subcommittee Meeting, Colorado Springs, C.O., U.S.A., Dec. 2003.
  37. Volponi, A.J., "Data Fusion for Enhanced Aircraft Engine Prognostics and Health Management," Glenn Research Center, NASA Report No. CR-2005-214055, 2005.
  38. Glenn Research Center Controls & Dynamics branch, "Distributed Engine Control," 2009 Propulsion Controls and Diagnostics Workshop, Dec. 2009.
  39. Culley, D., "More Intelligent Gas Turbine Engines," RTO Technical Report, TR-AVT-128, 2009.
  40. Alireza, B., Shreeder, A. and Christin, R., "Integrated Model-based controls and PHM for Improving Turbine Engine Performance, Reliability, and Cost(Postprint)," 45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, Denver, C.O., U.S.A., Aug. 2009.
  41. Garg, S., "Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems," NASA TM 2004-212915, 2004.
  42. Simon, D.L., Garg, S., Hunter, G.W., Guo, T. and Semega, K., "Sensor Needs for Control and Health Management of Intelligent Aircraft Engines," NASA/TM-2004-213202, 2004.
  43. Litt, J.S., "A Survey of Intelligent Control and Health Management Technologies for Aircraft Propulsion Systems," NASA TM-2005-213622, 2005.
  44. Wiseman, M., "Intelligent Engine Systems: Work Element 1.2: Malfunction and Operator Error Reduction," NASA CR-2005-213964, 2005.
  45. Rausch, R., "Towards In-Flight Detection and Accommodation of Faults in Aircraft Engines," AIAA 1st Intelligent Systems Technical Conference, Chicago, I.L., U.S.A., AIAA 2004-6463, Sep. 2004.
  46. Kim, I.S. and Lee, E.S., "Recent trends in Liquid Rocket Engine Health Monitoring/ Managment Method," 2012 KSPE Fall Conference, Yeosu, Korea, pp. 824-832, 2012.
  47. Cha, J.H., Ha, C.S., Oh, S.H. and Kho, S.H., "A Survey on Health Monitoring and Management Technology for Liquid Rocket Engine," Journal of the Koreans Society of Propulsion Engineers, Vol. 18, No. 6, pp. 50-58, 2014.
  48. Han, C.W., "Application of PHM technology to electronic devices for automobile," KSAE Workshop, pp. 43-67, 2012.
  49. Kim, J.T., Yi, J.H., and Yun, C.B., "Smart Sensing and Monitoring System for Structural Integrity Evaluation of Bridges," 2003 Conference of Korean Society of Civil Engineers, Daegu, Korea, pp. 5504-5509, Oct. 2003.
  50. Kim, K.S., "Smart Monitoring of Civil Infrastructures using Fiber Optic Sensors," Journal of Korean Society of Civil Engineers, Vol. 55, No. 4, pp. 81-91, 2007.
  51. Kong, C.D., Shin, H.G. and Ki, J.Y., "A Study on Engine Health Monitoring using Linear Gas Path Analysis for Turboprop Engine," Journal of the Koreans Society of Propulsion Engineers, Vol. 3, No. 4, pp. 93-103, 1999.
  52. Kong, C.D., Kang, M.C. and Park, G.L., "Study on Condition Monitoring of 2-Spool Turbofan Engine Using Non-Linear GPA (Gas Path Analysis)Method and Genetic Algorithms," Journal of the Koreans Society of Propulsion Engineers, Vol. 17, No. 2, pp. 71-83, 2013. https://doi.org/10.6108/KSPE.2013.17.2.071
  53. Park, J.C., Roh, T.S. and Choi, D.W., "A Performance Comparison of SVM and MLP for Multiple Defect Diagnosis of Gas Turbine Engine," 2005 KSPE Fall Conference, Deajeon, Korea, pp. 158-161, Nov. 2005.
  54. Kim, S.K., Shinh, R. and Kong, C.D., "Neural Network Application to Health Monitoring of Gas Turbine Enigine," Journal of the Koreans Society of Propulsion Engineers, Vol. 27, No. 6, pp. 88-95, 1999.
  55. Gong, C.D., Kho, S.H. and Ki, J.Y., "A Study on Intelligent Performance Diagnostics of a Gas Turbine Engine Using Neural Networks," Journal of the Koreans Society of Propulsion Engineers, Vol. 32, No. 3, pp. 51-57, 2004.
  56. Gong, C.D., Ki, J.Y. and Lee, C.H., "A Study on Performance Diagnostic of Smart UAV Gas Turbine Engine using Neural Network," Journal of the Koreans Society of Propulsion Engineers, Vol. 10, No. 2, pp. 15-22, 2006.
  57. Lee, S.M., Choi, W.J., Roh, T.S. and Choi, D.H., "Defect Diagnostics of Gas Turbine with Altitude Variation Using Hybrid SVM-Artificial Neural Network," Journal of the Koreans Society of Propulsion Engineers, Vol. 11, No. 1, pp. 43-50, 2007.
  58. Yong, M.C., Seo, M.C., Choi, D.H. and Roh, T.S., "A Study on Defect Diagnostics of Gas-Turbine Engine on Off-Design Condition Using Genetic Algorithms," Journal of the Koreans Society of Propulsion Engineers, Vol. 12, No. 3, pp. 60-67, 2008.
  59. Kong, C.D., Lim, S.M. and Kim, K.W., "Study on Fault Diagnostics of a Turboprop Engine Using Fuzzy Logic and BBNN," Journal of the Koreans Society of Propulsion Engineers, Vol. 15, No. 2, pp. 1-7, 2011.
  60. Park, J.C., Rho, T.S. and Choi, D.H., "Defect Diagnostics of Gas Turbine Engine Using Support Vector Machine and Artificial Neural Network," Journal of the Koreans Society of Propulsion Engineers, Vol. 10, No. 2, pp. 102-109, 2006.
  61. Kong, C.D., Ki, J.Y., Kho, S.H. and Lee, C.H., "A Study on Multi-Fault Diagnosis for Turboshaft Engine of UAV Using Fuzzy and Neural Networks," Journal of the Koreans Society of Propulsion Engineers, Vol. 37, No. 6, pp. 556-561, 2009.
  62. Kong C.D., Koo, Y.J., Kho, S.H. and Ryu, H., "Study of On-line Performance Diagnostic Program of A Helicopter Turboshaft Engine," Journal of the Koreans Society of Propulsion Engineers, Vol. 37, No. 12, pp. 1238-1244, 2009.
  63. Kim, J.H. and Lee, S.J., "Sensor Fault-tolerant Controller Design on Gas Turbine Engine using Multiple Engine Models," Journal of the Koreans Society of Propulsion Engineers, Vol. 20, No. 2, pp. 56-66, 2016. https://doi.org/10.6108/KSPE.2016.20.2.056
  64. Kong, C.D., Kho, S.H., Ki, J.Y., Gu, Y.J. and Jun, Y.M., "A Study on Development of On-line Condition Monitoring Program of a Turboshaft Engine," Journal of the Koreans Society of Propulsion Engineers, Vol. 12, No. 6, pp. 7-11, 2008.
  65. Kong, C.D., Kim, K.W. and Kim, J.H., "A Study on GUI type On-line Condition Monitoring Program for A Turboprop Engine Using LabVIEW," Journal of the Koreans Society of Propulsion Engineers, Vol. 15, No. 3, pp. 86-93, 2011.
  66. "Rolls Royce PHM," retrieved 8 Aug. 2017 from http://www.rolls-royce.com, 2016.

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