Vibration-based Fault Diagnostics of Planetary Gearbox Using Time Synchronous Averaging with Multiple Window Functions

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Oct 18, 2015
Jong M. Ha Jungho Park Hyunseok Oh Byeng D. Youn

Abstract

Recently, numerous number of studies have been made to advance TSA for vibration-based diagnostics of planet gears of a planetary gearbox. To increase signal-to-noise ratio of the vibration signals, various narrow-range window functions centered on sensor’s position have been developed to capture the instances when the planet gears are adjacent to the sensor. However, TSA with such narrow-range window functions is unable to detect the abnormal signal if it is amplified at outside of the sensor’s position due to an unexpected vibration modulation characteristics of the gearbox. This paper proposes a TSA which is robust toward the unexpected vibration modulation characteristics of the gearbox. Multiple narrow-range window functions were employed to perform multiple TSAs rather than employing the sole window function centered on the sensor’s position. Condition indicators with regard to every ring gear’s teeth were derived, and accumulated for the purpose of condition monitoring. Then, optimal position of the window function was determined to maximize capability to detect signals from the faulty gear. For demonstration of the proposed TSA, test was performed with a 2kW testbed having one-stage planetary gearbox within which a planet gear with artificial fault was assembled.

How to Cite

M. Ha, . J., Park, J., Oh, H., & D. Youn, B. . (2015). Vibration-based Fault Diagnostics of Planetary Gearbox Using Time Synchronous Averaging with Multiple Window Functions. Annual Conference of the PHM Society, 7(1). https://doi.org/10.36001/phmconf.2015.v7i1.2761
Abstract 177 | PDF Downloads 107

##plugins.themes.bootstrap3.article.details##

Keywords

Fault diagnostics, Planetary gearbox, Time synchronous averaging (TSA)

References
Bechhoefer, E. & Kingsley, M., (2009). A review of time synchronous average algorithms. In Annual Conference of the Prognostics and Health Management Society 2009. pp. 1–10.

Hochmam, D. & Sadok, M., (2004). Theory of synchronous averaging. In IEEE Aerospace Conference Proceedings. IEEE, pp. 3636–3653.

Inalpolat, M. & Kahraman, A., (2010). A Dynamic Model to Predict Modulation Sidebands of a Planetary Gear Set Having Manufacturing Errors. Journal of Sound and Vibration, 329(4), p.371~393.

Lewicki, D.G., Ehinger, R.T. & Fetty, J., (2011). Planetary gearbox fault detection using vibration separation techniques, Cleveland, Ohio: NASA/TM—2011- 217127, NASA Glenn Research Center.

Martin, H.R., (1989). Statistical moment analysis as a means of surface damage detection. In Proceedings of the 7th International Modal Analysis Conference.

McFadden, P.D., (1991). A Technique for Calculating the Time Domain Averages of the Vibration of the Individual Planet Gears and the Sun Gear in an Epicyclic Gearbox. Journal of Sound and Vibration, 144(1), p.163~172.

McFadden, P.D. & Howard, I.M., (1990). The detection of seeded faults in an epicyclic gearbox by signal averaging of the vibration, Austrailia: AR-006-087 / ARL-PROP- R-183, Commonwealth of Australia.

Samuel, P.D., Conroy, J.K. & Pines, D.J., (2004). Planetary transmission diagnostics, Cleveland, Ohio: NASA/CR- 2004-213068, NASA Glenn Research Center.

Samuel, P.D. & Pines, D.J., (2005). A Review of Vibration- based Techniques for Helicopter Transmission Diagnostics. Journal of Sound and Vibration, 282(1-2), p.475~508. Available at: http://linkinghub.elsevier .com/retrieve/pii/S0022460X0 4003244 [Accessed January 21, 2014].

Sheng, S., (2012). Wind turbine gearbox condition monitoring round robin study – vibration analysis, Technical Report NREL/TP-5000-54530, National Renewable Energy Laboratory (NREL).

Siegel, D. et al., (2014). A Comparative Study on Vibration- based Condition Monitoring Algorithms for Wind Turbine Drive Trains. Wind Energy, 17(5), p.695~714.

Stewart, R.M., (1977). Some useful data analysis techniques for gearbox diagnostics, Southampton: MHM/R/10/77, Machine Health Monitoring Group, Institute of Sound and Vibration Research, University of Southampton.
Section
Technical Research Papers

Most read articles by the same author(s)