Gear Diagnostics – Fault Type Characteristics

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

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

Alexander Bliznyuk Ido Dadon Renata Klein Jacob Bortman

Abstract

To date, the majority of existing Condition Indicators for gears are based on various statistical moments of a recorded time history. A supplementary analysis proposed in this study, shall suggest an approach that may, in the future, enable the identification of faulty gearwheel and possibly fault type in the system. In this work, a combined analytical and empiric approach is applied. This approach is based on the assumption that reliable dynamic models can be utilized to predict the effects of faults on vibrational patterns. Dynamic model generated signatures are used to verify experimental findings. Moreover, discrepancies between simulated and actual results, combined with understanding of the assumptions and omissions of the model, are helpful in understanding and explaining the experimental results.A spur gear transmission setup was used for experiments, along with an electric AC motor and a friction belt loading device. The experimental runs were conducted at varying speed settings. Two types of faults, a tooth face fault and a tooth root fault, were seeded in the experimental transmission and into the model. The effect on extracted signal features is examined.

The purpose of this study is to evaluate fault detection capabilities of proposed diagnostic tools at the presence of two seeded faults of varying severity, verified by a dynamic model. Observed differences between examined fault types and their manifestation will be discussed. A basis for future work on prognostics capabilities is laid by a varying degree of tooth root fault.

How to Cite

Bliznyuk, A. ., Dadon, I. ., Klein, R. ., & Bortman, J. . (2014). Gear Diagnostics – Fault Type Characteristics. Annual Conference of the PHM Society, 6(1). https://doi.org/10.36001/phmconf.2014.v6i1.2386
Abstract 50 | PDF Downloads 12

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

Keywords

gear damage diagnostics, gear fault detection

References
Dempsey, P. et al., (2007). Investigation of Current Methods to Identify Helicopter Gear Health. NASA, Glenn Research Center, Cleveland, Ohio, USA.

Lewicky, D. et al., (2010). Gear Fault Detection Effectiveness as Applied to Tooth Surface Pitting Fatigue Damage, Gear Technology Nov./Dec. 2010 pp.48-59, Randall Publications LLC

Klein, R.,(2012). Condition Indicators for Gears. R.K. Diagnostics, Annual Conference of Prognostics and Health Management Society 2012, Gilon, Israel.

Klein, R.(2013). Comparison of Methods for Separating Excitation Sources in Rotating Machinery. R.K. Diagnostics, Gilon, Israel.

Dadon, I., Bliznyuk, A., Klein, R., & Bortman, J. (2014). Towards a reliable non-linear dynamic model of damaged gear transmission. The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, June 10-12, 2014 Manchester, UK.

Chaari, F., Baccar, W., Abbes, M. S., & Haddar, M. (2008). Effect of spalling or tooth breakage on gearmesh stiffness and dynamic response of a one-stage spur gear transmission. European Journal of Mechanics-A/Solids, Vol 27, pp 691-705.

Chen, Z., & Shao, Y. (2011). Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth. Engineering Failure Analysis, Vol 18, pp 2149-2164.

Chopra, A. K. (2001). Dynamics of Structures. USA: Prentice Hall.
Section
Technical Papers

Most read articles by the same author(s)