Evaluation method on reliability index of aero-engine based on gray theory

被引：0
作者：
机构：
[1] Tianjin Key Laboratory for Airworthiness and Maintenance of Civil Aircraft, Civil Aviation University of China
[2] College of Aeronautical Engineering, Civil Aviation University of China
来源：
Wang, D.-W. (wdwcauc@163.com) | 1600年 / Journal of Propulsion Technology卷 / 35期
关键词：
Aero-engine; Data fusion; Gray theory; Reliability evaluation;
D O I：
10.13675/j.cnki.tjjs.2014.07.002
中图分类号：
学科分类号：
摘要：
A reliability index evaluation model was built on hierarchy analysis process theory through an evaluation method of twice distribution algorithm and gray theory. By the method, reliability index were divided into three levels: general level, hazard level and failure model level. The data of failure model level were fused through twin-distribution and weighted average methods. That of hazard level were done through hierarchy analysis and gray theory. Index of general were fused by single value method on the output of hazard level which were different gray vectors. The model was used to evaluate one turbofan engine, and the results show that the index can reflex the reliability state of engine.
引用
收藏
页码：874 / 881
页数：7
相关论文
共 16 条
  • [1] 34, 8, pp. 883-886, (2008)
  • [2] 35, 12, pp. 1464-1467, (2009)
  • [3] Zhou J.-B., Lu F., Huang J.-Q., Gas-path component fault diagnosis based on gray relational analysis for aero-engine, Journal of Propulsion Technology, 32, 1, pp. 140-145, (2011)
  • [4] 2, 1, pp. 114-117, (2010)
  • [5] Ogaji S., Marinai L., Sampath S., Et al., Gas-turbine fault diagnostics: a fuzzy-logic approach, Applied Energy, 82, 1, pp. 81-89, (2005)
  • [6] Guo D.L., Daisuke Y., Masatake N., Et al., A prediction model using hybrid grey GM(1, 1) model, Journal of Grey System, 11, 1, pp. 19-26, (2008)
  • [7] Wang H., Wu H., Reliability evaluation model based on data fusion for aircraft engines, Transactions of Nanjing University of Aeronautics & Astronautics, 29, 4, pp. 318-324, (2012)
  • [8] Niu G., Yang B.S., Pecht M., Development of an optimized-based maintenance system by data fusion and reliability-centered maintenance, Reliability Engineering and System Safety, 95, 7, pp. 786-796, (2010)
  • [9] Basir O., Yuan X.H., Engine Fault diagnosis based on multi-sensor information using Dempster-Shafer evidence theory, Information Fusion, 8, 4, pp. 379-386, (2007)
  • [10] Murthy D.N.P., Bulmer M., Eccleston J.A., Weibull model selection for reliability modeling, Reliability Engineering & System Safety, 86, 3, pp. 257-267, (2004)
12