Abstract
In the paper a new method of assessment gear failures evolution is proposed. The method is based on the on calculation of instantaneous energy density of the vibroacoustic signal’s envelope for the consecutive meshes and allows for acquiring information about the meshes quality and the disturbances of the meshing process for particular teeth pairs. For this purpose a meshing local plane “pinion tooth – gear tooth” concept is proposed permitting the observation of the energy density changes for the consecutive teeth (or teeth pairs) during the normal exploitation of the gearbox. The meshing local plane allows finding in the signal the local disturbances caused by meshing errors or developing fatigue related failures like pitting or gear cracks and link them to the meshes of particular teeth pairs. In the paper the theoretical background of the method as well as the possibilities of different ways of signal analysis would be presented along with the experimental results taken on the back-toback test stand during the fatigue test. The method is relatively easy for implementation in an online monitoring diagnostic system as it is not based on spectral analysis nor requires synchronous averaging of the signal. It could be used for assessing the manufacturing quality of gears, the assembly quality as well as for the gear failure evaluation during normal exploitation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Allianz. (1984). Handbuch der Schadensverhütung. Allianz Versicherungs AG.
Radkowski S., Zawisza M. (2004), Use of vibroacoustic signal for evaluation of fatigue-related damage of toothed gears”, The 17th International Congress & Exhibition on Condition Monitoring And Diagnostic Engineering Management, COMADEM 2004.
Mączak J. (1998) The use of modulation phenomena of vibroacoustic signal in helical gear diagnosis”, PhD Dissertation. Warsaw University of Technology (in polish).
Zakrajsek J.J., Townsend D.P., Lewicki D.G., Decker H.J., Handschuh R.F. (1995) Transmission diagnostic research at NASA Lewis Research Center. NASA Technical Memorandum 106901.
Decker H.J. (2002) Crack detection for aerospace quality spur gears. NASA TM-2002-211492, ARL-TR-2682,.
Randall R. B. 1982 A new method of modelling gear faults. Journal of Mechanical Design, 104, 259-267.
McFadden P.D. 1988. Determining the location of a fatigue crack in a gear from the phase of the change in the meshing vibration. Mechanical Systems and Signal Processing, 2(4), 403-409.
McFadden P. D., Smith J. D., (1985), A signal processing technique for detecting local defects in a gear from the signal average of vibration. Proceedings of the Institution of Mechanical Engineers, 199(C4), pp. 287-292.
Loutridis C. (2004) A local energy density methodology for monitoring the evolution of gear faults. NDT and E International, 6(37), 447-453.
Loutridis C. (2006) Instantaneous energy density as a feature for gear fault detection. Mechanical Systems and Signal Processing, 20, 1239-1253.
Mączak J., Radkowski S. (2002), “Use of envelope contact factor in fatigue crack diagnosis of helical gears”, Machine Dynamics Problems, 26, 115-122.
Mączak J. (2003), On a certain method of using local measures of fatigue-related damage of teeth in a toothed gear, COMADEM.
Mączak J. (2005), A method of detection of local disturbances in dynamic response of diagnosed machine element, Condition Monitoring, Cambridge.
Mączak J. (2009). Evolution of the instantaneous distribution of energy density on a local meshing plane as the measure of gear failures. The 8th International Conference on Reliability, Maintainability and Safety, Chengdu, China (in printing).
Bonnardot F., El Badaoui M., Randall R.B., Daniere J., F. 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, 19, pp. 766–785.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag
About this paper
Cite this paper
Mączak, J. (2010). Local meshing plane as a source of diagnostic information for monitoring the evolution of gear faults. In: Kiritsis, D., Emmanouilidis, C., Koronios, A., Mathew, J. (eds) Engineering Asset Lifecycle Management. Springer, London. https://doi.org/10.1007/978-0-85729-320-6_77
Download citation
DOI: https://doi.org/10.1007/978-0-85729-320-6_77
Publisher Name: Springer, London
Print ISBN: 978-0-85729-321-3
Online ISBN: 978-0-85729-320-6
eBook Packages: EngineeringEngineering (R0)