Volume 29 Issue 2
Feb.  2014
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WANG Hua-wei, GAO Jun, WU Hai-qiao. Reliability analysis on aero-engine using Bayesian model averaging[J]. Journal of Aerospace Power, 2014, 29(2): 305-313. doi: 10.13224/j.cnki.jasp.2014.02.009
Citation: WANG Hua-wei, GAO Jun, WU Hai-qiao. Reliability analysis on aero-engine using Bayesian model averaging[J]. Journal of Aerospace Power, 2014, 29(2): 305-313. doi: 10.13224/j.cnki.jasp.2014.02.009

Reliability analysis on aero-engine using Bayesian model averaging

doi: 10.13224/j.cnki.jasp.2014.02.009
  • Received Date: 2013-07-06
  • Publish Date: 2014-02-28
  • Considering the characteristics of different failure modes with use of monitoring information, Gamma process, Wiener process and Weibull distribution were selected to build the reliability analysis models on aero-engine. Bayesian model averaging (BMA) was used to integrate different models into one framework for reliability analysis on aero-engines, given its function for dynamically evaluating different failure mode effects. The reliability of some onwing aero-engine was analyzed by numerical example, showing that the reliability analysis model using BMA had less error than single reliability analysis model, and computation error rate of BMA was less than 1%. The results demonstrate the effectiveness of the reliability analysis of multi-model integration.

     

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