Abstract
In most cases the helicopter transmission system comprises of the main gearbox (MGB), auxiliary gearbox (AGB), intermediate gearbox (IGB) and tail rotor gearbox (TGB). A local gear fault will impose a force variation in the gearbox and changes the gear angular velocity resulting in frequency modulations, which in turn generates sidebands and changes the vibration signature. The change in vibration signature contains information about the health of the gearbox from which diagnosis can be made to prevent the catastrophic effect of propagated fault. The helicopter gearbox vibration mode differs from those of other systems due to the transmission noise, structural noise and aero acoustic noise which masks the sideband. Thus an attempt is made to review the condition indicators that have been applied for fault diagnosis on the helicopter gearbox. This review is intended to advance the knowledge and the performance of Health and Usage Monitoring System in the helicopter transmission system.
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References
Alattas M.A. and Basaleem M.O. (2007). Statistical analysis of vibration signals for monitoring gear condition. Damascus University Journal, 23 (2).
Augustine M. (2004). Hazard assessment for usage monitoring credits on helicopters using HUMS. U.S. Department of Transportation, Federal Aviation Administration, Office of Aviation Research, Washington.
Blunt D.M. and Keller J.A. (2006). Detection of a fatigue crack in a Uh-60A planet gear carrier using vibration analysis. Mechanical Systems and Signal Processing, 20: 2095–2111.
Choy F.K., Huang S., Zakrajsek J., Handschuh R.F. and Townsend D.P. (1996). Vibration signature analysis of a faulted gear transmission system. Journal of Propulsion and Power, 12 (2): 289-295.
Christian K.N., Mureithi N., Lakis A. and Thomas M. (2007). On the use of time synchronous averaging, independent component analysis and support vector machines for bearing fault diagnosis. In the 1st International Conference on Industrial Risk Engineering, Montreal.
Civil Aviation Authority. (2011). Intelligent management of helicopter HUMS data. Civil Aviation Authority, London.
Decker H.J. and Lewicki D.G. (2003). Spiral bevel pinion crack detection in a helicopter gearbox. NASA, Cleveland Oh Glenn Research Center, Washington, 1-16.
Dempsey, P.J., Lewicki, D.G. and Le, D.D. (2007). Investigation of current methods to identify helicopter gear health. Aerospace Conference cosponsored by the Institute of Electrical and Electronics Engineers and the American Institute of Aeronautics and Astronautics, Montana, March 3–10, 2007.
Draper A. (2003). The operational benefits of health and usage monitoring systems in UK military helicopters. In the 3rd International Conference on Health and Usage Monitoring, Victoria, 71-80.
Farokhzad S., Abad M.R.A. and Ranjbarkohan M. (2013). Fault diagnosis of massy ferguson tractor gearbox using vibration signal with neural network. International Journal of Agriculture and Crop Sciences, 5 (15) 1675-1681
Figo D., Diniz P.C., Ferreira D.R. and Cardoso J.M.P. (2010). Preprocessing techniques for context recognition from accelerometer data. Personal and Ubiquitous Computing, 14 (7): 645–662.
Grabill P. Brotherton T., Branhof B., Berry J. and Grant L. (2003). Rotor Smoothing and Vibration Monitoring Results for the Us Army VMEP. In the 59th Annual Forum of the American Helicopter Society, Phoenix, Arizona.
Greaves M. (2014). Towards the Next Generation of Hums Sensor, A Paper Presented at ISASI Seminar, Adelaide.
Hess, R., Duke, A., and Kogut, D. (2001). The IMD HUMS as a tool for rotorcraft health management and diagnostics. In Aerospace Conference, 2001, IEEE Proceedings, 6: 3039-3058, Montana.
Hongyu Y., Joseph M. and Lin M. (2003). Vibration Feature Extraction Techniques for Fault Diagnosis of Rotating Machinery: A Literature Survey. Asia- Pacific Vibration Conference, Gold Coast, 801-807.
Huff, E. M., Mosher, M. and Barszcz, E. (2003). An exploration of discontinuous time synchronous averaging using helicopter flight vibration data. In the 59th Annual Forum of the American Helicopter Society, American Helicopter Society International, Phoenix.
Jammu V. B., Danai K. and Lewicki D.G. (1996). Unsupervised pattern classifier for abnormality scaling of vibration features for helicopter gearbox fault diagnosis. Machine vibration, 5: 154-162.
Keller J.A. and Grabill P. (2003). Vibration monitoring of Uh-60A main transmission planetary carrier fault. In the 59th Annual Forum of the American Helicopter Society, American Helicopter Society International, Phoenix, 59 (2): 1233-1243.
Klepka A. (2011). Wavelet based signal demodulation technique for bearing fault detection. Mechanics and Mechanical Engineering, 15 (4): 63–71.
Krishnappa G. (1997). Gear fault detection parameters development based on modulation techniques. 5th International Congress on Sound and Vibration, Adelaide.
Lakis A.A. (2007). Rotating machinery fault diagnosis using time- frequency methods. In the 7th WSEAS International Conference on Electric Power Systems, High Voltages, Electric Machines, Venice, 139-144.
Lebold M., Mcclintic K., Campbell R., Byington C. and Maynard K. (2000). Review of vibration analysis methods for gearbox diagnostics and prognostics. In Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, 623-634.
Lewicki D.G., Laberge K.E., Ehinger R.T, Fetty J., (2011). Planetary Gearbox Fault Detection Using Vibration Separation Techniques. In the 67th Annual Forum and Technology Display, Forum 67, American Helicopter Society.
Li C. J., Ma J. and Hwang B. (1996). Bearing condition monitoring by pattern recognition based on bicoherence analysis of vibrations. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 210 (3): 277-285.
Lokesha M., Majumder M.C, Ramachandran K.P. and Abdul Raheem K.F.A. (2011). Fault diagnosis in gear using wavelet envelope power spectrum. International Journal of Engineering, Science and Technology, 3 (8): 156-167.
Milsom J., Toulas N. and Irving P. (2003). A study of usage variability and failure probability in a military helicopter. In 3rd International Conference on Health and Usage Monitoring, 81-90.
Mimnagh, M. L., Hardman, W., and Sheaffer, J. (2000). Helicopter drive system diagnostics through multivariate statistical process control. In Aerospace Conference Proceedings, 2000 IEEE Proceedings, 6:381-415, Montana.
Mosher M., Pryor A. H. and Lewicki D.G. (2003). Detailed vibration analysis of pinion gear with time- frequency methods. National Aeronautics and Space Administration (NASA).
Nacib L., Pekpe K.M. and Sakhara S. (2013). Detecting gear tooth cracks using cepstral analysis in gearbox of helicopters. International Journal of Advances in Engineering & Technology, 5(2):139-45.
Pipe K. (2003). Measuring the performance of a HUM System - the features that count. In the 3rd International Conference on Health and Usage Monitoring, 9-19. December
Qu Y., He D., Yoon J., Van-Hecke B., Bechhoefer E. and Zhu J. (2014). Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors: a comparative study. Sensors, 14: 1372-1393.
Rzeszucinski P.J., Sinha J.K., Edwards R., Starr A. and Allen B. (2012). Amplitude of probability density function of vibration response as a robust tool for gearbox diagnosis. Strain, 48: 510-516.
Samuel P. and Pines D. (2003). Helicopter Transmission Diagnostics Using Constrained Adaptive Lifting. In Proceedings of the 59th Annual American Helicopter Society, 59 (1): 351-361
Stringer D.B., Sheth P.N., Allaire P.E. (2009). A new helicopter transmission model for condition-based maintenance technologies using first principles, U.S. Army Research Laboratory Cleveland.
Turner and Huff (2001). Principal components analysis of triaxial vibration data from helicopter transmissions. Proceedings of the 56th Meeting of the Society for Machinery Failure Prevention Technology.
Wandell J. (2006). Multistage Gearbox: Vibration Based Quality Control.
Wang W. and Wong A.K. (2000). A model-based gear diagnostic technique. Technical Report, Department of Defence, Australia.
Wiig, J. (2006). Optimization of fault diagnosis in helicopter health and usage monitoring systems. Doctoral dissertation, Aix-en-Provence, ENSAM.
Wright, J. (2005). Emerging Results Using IMD-HUMS in a Black Hawk Assault Battalion. In 61st Annual Forum Proceedings-American Helicopter Society, 61(1):239. American Helicopter Society, Inc.
Wu B. and Vachtsevanos G. (2006). Extraction and evaluation of fault condition indicators for planetary gear plate crack. The 13th International Congress of Sound and Vibration, Vienna.
Wu, B., Saxena, A., Patrick, R. and Vachtsevanos, G. (2005). Vibration monitoring for fault diagnosis of helicopter planetary gears. In Proceedings of the 16th IFAC World Congress.
Zion, L., Chandler, M. and White, D. (2016). Results of health and usage monitoring system fleet data analysis for usage credits. U.S Army Aviation Engineering Directorate Redstone Arsenal, February 2016.
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Ogundare, A., Ojolo, S., Mba, D., Duan, F. (2017). Review of fault detection techniques for health monitoring of helicopter gearbox. In: Bahei-El-Din, Y., Hassan, M. (eds) Advanced Technologies for Sustainable Systems. Lecture Notes in Networks and Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-48725-0_13
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