Heyns, TGodsill, SJDe Villiers, JPHeyns, PS2013-08-212013-08-212012-02Heyns, T, Godsill, S.J, De Villiers, J.P and Heyns, P. S. 2012. Statistical gear health analysis which is robust to fluctuating loads and operating speeds. Mechanical Systems and Signal Processing, vol. 27, pp 651-6660888-3270http://www.sciencedirect.com/science/article/pii/S088832701100375Xhttp://hdl.handle.net/10204/6953Copyright: 2012 Elsevier. This is the Post print version of the work. The definitive version is published in Mechanical Systems and Signal Processing, vol. 27, pp 651-666Condition-based maintenance is concerned with the collection and interpretation of data to support maintenance decisions. The non- intrusive nature of vibration data enables the monitoring of enclosed systems such as gearboxes. It remains a significant challenge to analyze vibration data that are generated under fluctuating operating conditions. This is especially true for situations where relatively little prior knowledge regarding the specific gearbox is available. It is therefore investigated how an adaptive time series model, which is based on Bayesian model selection, may be used to remove the non-fault related components in the structural response of a gear assembly to obtain a residual signal which is robust to fluctuating operating conditions. A statistical framework is subsequently proposed which may be used to interpret the structure of the residual signal in order to facilitate an intuitive understanding of the condition of the gear system. The proposed methodology is investigated on both simulated and experimental data from a single stage gearbox.enGear maintenanceResidual analysisStatistical gear modelBayesian model selectionArticleHeyns, T., Godsill, S., De Villiers, J., & Heyns, P. (2012). Statistical gear health analysis which is robust to fluctuating loads and operating speeds. http://hdl.handle.net/10204/6953Heyns, T, SJ Godsill, JP De Villiers, and PS Heyns "Statistical gear health analysis which is robust to fluctuating loads and operating speeds." (2012) http://hdl.handle.net/10204/6953Heyns T, Godsill S, De Villiers J, Heyns P. Statistical gear health analysis which is robust to fluctuating loads and operating speeds. 2012; http://hdl.handle.net/10204/6953.TY - Article AU - Heyns, T AU - Godsill, SJ AU - De Villiers, JP AU - Heyns, PS AB - Condition-based maintenance is concerned with the collection and interpretation of data to support maintenance decisions. The non- intrusive nature of vibration data enables the monitoring of enclosed systems such as gearboxes. It remains a significant challenge to analyze vibration data that are generated under fluctuating operating conditions. This is especially true for situations where relatively little prior knowledge regarding the specific gearbox is available. It is therefore investigated how an adaptive time series model, which is based on Bayesian model selection, may be used to remove the non-fault related components in the structural response of a gear assembly to obtain a residual signal which is robust to fluctuating operating conditions. A statistical framework is subsequently proposed which may be used to interpret the structure of the residual signal in order to facilitate an intuitive understanding of the condition of the gear system. The proposed methodology is investigated on both simulated and experimental data from a single stage gearbox. DA - 2012-02 DB - ResearchSpace DP - CSIR KW - Gear maintenance KW - Residual analysis KW - Statistical gear model KW - Bayesian model selection LK - https://researchspace.csir.co.za PY - 2012 SM - 0888-3270 T1 - Statistical gear health analysis which is robust to fluctuating loads and operating speeds TI - Statistical gear health analysis which is robust to fluctuating loads and operating speeds UR - http://hdl.handle.net/10204/6953 ER -