Abstract
As rolling element bearings are key parts of rotating machinery, the estimation of their reliability is very important. In this context, different standards and research articles propose how to estimate fatigue life for different levels of reliability. However, when trying to do calculations based on data from a real system, there are many difficulties because of economic and safety reasons. Consequently, the use of physical models to simulate the cases that are difficult to reproduce in a real system allows us to generate synthetic data related to them. Thus, in this paper a synthetic failure rate of rolling element bearings is calculated using a physical modelling approach. A multi-body model of a bearing is used in order to obtain its dynamic response in non-stationary conditions and in different degradation levels. Thus, synthetic data are generated to cover a range of degradation related to geometric changes in the surface of the parts of the bearing. Some of the output variables of these synthetic data, such as vibration, are used as covariates of a proportional hazard model, which is then trained to estimate the reliability of the bearing. In this way, a synthetic failure rate is obtained in such a way that it can improve the failure rate given by the manufacturers
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
References
Camci F, Medjaher K, Zerhouni N, Nectoux P (2013) Feature evaluation for effective bearing prognostics. Qual Reliab Eng Int 29(4):477–486
Ferreira JLA, Balthazar JC, Araujo APN (2003) An investigation of rail bearing reliability under real conditions of use. Eng Fail Anal 10(6):745–758
Gorjian N, Ma L, Mittinty M, Yarlagadda P, Sun Y (2009) A review on reliability models with covariates. In: Proceedings of the 4th world congress on engineering asset management
Heng A, Zhang S, Tan ACC, Mathew J (2009) Rotating machinery prognostics: State of the art, challenges and opportunities. Mech Syst Signal Process 23(2):724–739
ISO (2007) 281: Rolling bearings—dynamic load ratings and rating life. Geneva, Switzerland
ISO (2004) 15243: Rolling bearings—damage and failures—terms, characteristics and causes. Geneva, Switzerland
Jin X, Zhao M, Chow TWS, Pecht M (2014) Motor bearing fault diagnosis using trace ratio linear discriminant analysis. IEEE Trans Industr Electron 61(5):2441–2451
Johansson C-A, Simon V, Galar D (2014) Context driven remaining useful life estimation. Procedia CIRP 22:181–185
Krivtsov VV, Tananko DE, Davis TP (2002) Regression approach to tire reliability analysis. Reliab Eng Syst Saf 78(3):267–273
Leturiondo U, Mishra M, Salgado O, Galar D (2014) Nonlinear response of rolling element bearings with local defects. In: Proceedings of the eleventh international conference on condition monitoring and machinery failure prevention technologies
Li Y, Billington S, Zhang C, Kurfess T, Danyluk S, Liang S (1999) Dynamic prognostic prediction of defect propagation on rolling element bearings. Tribol Trans 42(2):385–392
Mishra M, Leturiondo-Zubizarreta U, Salgado-Picon O, Galar-Pascual D (2015) Modelización híbrida para el diagnóstico y pronóstico de fallos en el sector del transporte. Datos adquiridos y datos sintéticos, Dyna, 90(2):139–145
Samuel PD, Pines DJ (2005) A review of vibration-based techniques for helicopter transmission diagnostics. J Sound Vib 282(1–2):475–508
Sikorska JZ, Hodkiewicz M, Ma L (2011) Prognostic modelling options for remaining useful life estimation by industry. Mech Syst Signal Process 25(5):1803–1836
Acknowledgments
This study is partially funded by the Basque Government under the Emaitek 2014 Program and by the Ministry of Economy and Competitiveness of the Spanish Government under the Retos-Colaboración Program (LEMA project, RTC-2014-1768-4). Any opinions, findings and conclusions expressed in this article are those of the authors and do not necessarily reflect the views of funding agencies. The authors would also like to thank Fundación de Centros Tecnológicos - Iñaki Goenaga.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Leturiondo, U., Salgado, O., Galar, D. (2016). Estimation of the Reliability of Rolling Element Bearings Using a Synthetic Failure Rate. In: Kumar, U., Ahmadi, A., Verma, A., Varde, P. (eds) Current Trends in Reliability, Availability, Maintainability and Safety. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-23597-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-23597-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23596-7
Online ISBN: 978-3-319-23597-4
eBook Packages: EngineeringEngineering (R0)