Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor

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Published Sep 29, 2014
Jae Yoon David He Brandon Van Hecke Thomas J. Nostrand Junda Zhu Eric Bechhoefer

Abstract

Planetary gearboxes are widely used in the drivetrain of helicopters and wind turbines. Any planetary gearbox failure could lead to breakdown of the whole drivetrain and major loss of helicopters and wind turbines. Therefore, planetary gearbox fault diagnosis is an important topic in prognostics and health management (PHM). Planetary gearbox fault diagnosis has been done mostly through vibration analysis over the past years. Vibration signals theoretically have the amplitude modulation effect caused by time variant vibration transfer paths due to the rotation of planet carrier and sun gear, and therefore their spectral structure is complex. It is difficult to diagnose planetary gearbox faults via vibration analysis. Strain sensor signals on the other hand have less amplitude modulation effect. Thus, it is potentially easy and effective to diagnose planetary gearbox faults via stain sensor signal analysis. In this paper, a research investigation on planetary gearbox fault diagnosis via strain sensor signal analysis is reported. The investigation involves using time synchronous average technique to process signals acquired from a single piezoelectric strain sensor mounted on the housing of a planetary gearbox and extracting condition indicators for fault diagnosis. The reported investigation includes analysis results on a set of seeded fault tests performed on a planetary gearbox test rig in a laboratory. The results have showed a satisfactory planetary gearbox fault diagnostic performance using strain sensor signal analysis.

How to Cite

Yoon, J. ., He, D. ., Van Hecke , B. ., J. Nostrand, T., Zhu , J. ., & Bechhoefer, E. (2014). Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor. Annual Conference of the PHM Society, 6(1). https://doi.org/10.36001/phmconf.2014.v6i1.2374
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Keywords

fault diagnosis, strain sensors, Planetary gearbox

References
Astridge, D. G. (1989). Helicopter transmissions - design for safety and reliability, Proceedings of Mechanical Engineers: Journal of Aerospace Engineering, Vol. 203, No. 2, pp. 123 - 138.

Bartelmus, W., & Zimroz, R. (2009). Vibration condition monitoring of planetary gearbox under varying external load, Mechanical Systems and Signal Processing, Vol.
23, No. 1, pp. 246 - 257.

Bartelmus, W., & Zimroz, R. (2011). Vibration spectra characteristic frequencies for condition monitoring of mining machinery compound and complex gearboxes, Scientific Papers of the Institute of Mining, University of Technology, Studies and Research, Vol. 133, No 40, pp. 17 - 34.

Banaszak, D. (2001). Comparison of piezoelectric strain sensors with strain gages, Proceedings of the Annual Meeting of the American Statistical Association, Atlanta, GA, Aug 5 – 9.

Bechhoefer, E. & Kingsley, M. (2009). A review of time synchronous average algorithm, Annual Conference of the Prognostics and Health Management Society, Sep 27 – Oct 1, San Diego, CA.

Bonnardot, F., Badaoui, M. E., Randall, R. B, Daniere, J., & Guillet, F. (2005). Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation), Mechanical Systems and Signal Processing, Vol. 19, No. pp. 766 - 785.

Braun, S. (1975). The extraction of periodic waveforms by time domain averaging, Acustica, Vol. 32, No. 1, pp. 69 - 77.

Feng, Z., & Zuo, M. J. (2012). Vibration signal models for fault diagnosis of planetary gearbox, Journal of Sound and Vibration, Vol. 331, No. 22, pp. 4919 – 4939.

Feng, Z. & Zuo, M. J. (2013). Fault diagnosis of planetary gearboxes via torsional vibration signal analysis, Mechanical Systems and Signal Processing, Vol. 36, No.2, pp. 401 - 421.

Howard, I. M. (1990). Epicyclic transmission fault detection by vibration analysis, Australian Vibration and Noise Conference: Vibration and Noise - Measurement, Prediction, and Control, Melbourne, Australia, pp. 171 - 178.

Jiang, X., Kim, K., Zhang, S., Johnson, J., & Salazar, G. (2014). High-temperature piezoelectic sensing, Sensors, Vol. 14, No. 1, pp.144 – 169.

Kiddy, J. S., Samuel, P. D., Lewicki, D. G., LaBerge, K. E., Ehinger, R. T., & Fetty, J. (2011). Fiber optic strain sensor for planetary gear diagnostics, NASA Technical Report: NASA/TM-2011-217123, NASA Glenn Research Center, Cleveland, OH.

Kon, S., Oldham, K., & Horowitz, R. (2007). Piezoresistive and piezoelectric MEMS strain sensors for vibration detection, Proceedings of the SPIE: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Vol. 6529, pp. 1 - 11.

Lee, C. K. & O’Sullivan, T. (1991), Piezoelectric strain rate gages, Journal of the Acoustical Society of America, Vol. 90, No.2, pp. 945 - 953.

Lewicki, D. G., Laberge, K. E., Ehinger, R. T., & Fetty, J. (2011). Planetary gearbox fault detection using vibration separation technique, NASA Technical Report:NASA/CR-2004-213068, NASA Glenn Research Center,Cleveland, OH.

Link, H., LaCava, W., van Dam, J., McNiff, B., Sheng, S.,Wallen, R., McDade, M., & Lambert, S. (2011). Gearbox reliability collaborative project report: findings from phase 1 and phase 2 testing," NREL Technical Report: NREL/TP-5000-51885, National Renewable Energy Laboratory, Golden, CO, USA.

McFadden, P. D. (1987). A revised model for the extraction of periodic waveforms by time domain averaging, Mechanical Systems and Signal Processing, Vol. 1, No. 1, pp. 83 - 95.

McFadden, P. D., & Howard, I. M. (1990). The detection of seeded faults in an epicyclic gearbox by signal averaging of the vibration, Aeronautical Research Laboratory, Melbourne, Victoria, Australia.

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, Vol. 144, No. 1, pp. 163 - 172.

McFadden, P. D. (1994). Window functions for the calculation of the time domain averages of the vibration of the individual planet gears and sun gear in an epicyclic gearbox, Journal of Vibration and Acoustics, Vol. 116, No. 2, pp. 179 - 187.

Patrick, R., Orchard, M. E., Zhang, B., & Koelemay, M. D. (2007). An integrated approach to helicopter planetary gear fault diagnosis and failure prognosis, Proceedings of IEEE AUTOTESTCON, Baltimore, MD, pp. 547 - 552.

Qu, Y., He, D., Yoon, J., VanHecke, B., & Bechhoefer, E. (2014). Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors - a comparative study, Sensors, Vol. 14, No. 1, pp. 1372 - 1393.

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

Shiroishi, J., Li, Y. Liang, S., Kurfess, T., & Danyluk, S. (1997). Bearing condition diagnosis via vibration and acoustic emission measurement, Mechanical Systems and Signal Processing, Vol. 11, No. 5, pp. 693 - 705.

Sirohi, J. & Chopra, I. (2000). Fundamental understanding of piezoelectric strain sensors, Journal of Intelligent Material Systems and Structures, Vol. 11, No. 4, pp. 246 - 257.

Teager, H. M., & Teager S. M. (1992). Evidence for nonlinear sound production mechanisms in the vocal tract, in Speech Production and Speech Modeling Symposium, Time Frequency and Time-Scale Analysis, edited by Hardcastle, W. J. & Marchal, A., Springer, Netherlands, Vol. 55, pp. 345 - 348, 1992.

Yu, J., Yip, L., & Makis, V. (2010). Wavelet analysis with time-synchronous averaging of planetary gearbox vibration data for fault detection, diagnostics, and condition based maintenance, 2nd International Conference on Mechanical and Electronics Engineering (ICMEE), Kyoto, Japan, Vol. 1, pp. 132 - 136.

Wu, B., Saxena, A., Khawaja, T. S., Patrick, R., Vachtsevanos, G., & Sparis, P. (2004). An approach to fault diagnosis of helicopter planetary gears, Proceedings of IEEE AUTOTESTCON, San Antonio, TX., pp. 475 - 481.
Section
Technical Research Papers

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