Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter

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Published Oct 10, 2010
Canh Ly Kenneth Ranney Kwok Tom Hiralal Khatri Harry Decker

Abstract

Features based on empirical mode decomposition (EMD) of measured vibration data were developed for a Bell OH-58 helicopter main rotor gearbox. A tooth on the input pinion of the gearbox was notched and run for an extended period at several over-torque conditions to induce a tooth fracture. Vibration data were recorded at regular intervals until a tooth fractured. The EMD features were found to be more sensitive to the gearbox condition than the kurtosis-based feature (FM4), and they diagnosed the onset of cracked tooth much earlier.

How to Cite

Ly, C. ., Ranney, K. ., Tom, K. ., Khatri, H. ., & Decker, H. . (2010). Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter. Annual Conference of the PHM Society, 2(1). https://doi.org/10.36001/phmconf.2010.v2i1.1796
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Keywords

EMD, Kurtosis, Time Synchronous Averaging (TSA), Empirical Mode Decomposition

References
Decker, Harry J. & Lewicki, David G. (June 2003), Spiral Bevel Pinion Crack Detection in a Helicopter Gearbox, NASA TM-2003-212327, ARL-TR-2958.
Huang, N.E.; Shen, Z.; Long, S.R.; Wu, M.C.; Shih, H.H.; Zheng, Q., Yen; N.C.,Tung C.C.; & Liu, H.H. (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc., R. Soc. Lond. Ser. A 454, pp. 903-995.
Huang and Shen, eds., (2008) Huang, N.E., Shen, S.S.P., eds. (2008). Hilbert-Huang Transform and Its Applications, New Jersey: World Scientific.
Khatri, Hiralal; Ranney, Kenneth; Tom, Kwok; del Rosario Romeo (April 2008), New Features for Diagnosis and Prognosis of Systems Based on Empirical Mode Decomposition, International Conference on Prognostics and Health Management, PHM 2008.
Lewicki, David G. & Coy, John J. (April 1987), “Vibration Characteristics of OH-58A Helicopter Main Rotor Transmission,” NASA TP-2705, AVSCOM TR 86-C_42.
Shiroishi, J.; Li, Y.; Liang, S.; Danyluk, S; Kurfess, T. (1999), Vibration Analysis for Bearing Outer Race Condition Diagnostics, Jornal of the Brazillian Society of Mechanical Science, Vol. 21, No. 3, Rio de Janerio
Stewart, R. M. (July 1977), Some Useful Data Analysis Techniques for Gearbox Diagnostics, Report MHM/R/10/77, Machine Health Monitoring Group, Institute of Sound and Vibration Research, University of Southampton.
Section
Technical Research Papers