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基于自适应容积卡尔曼滤波方法的涡扇发动机气路部件故障诊断

胡宇 张世英 罗雷 朱杰堂 马鸿飞

胡宇, 张世英, 罗雷, 朱杰堂, 马鸿飞. 基于自适应容积卡尔曼滤波方法的涡扇发动机气路部件故障诊断[J]. 航空动力学报, 2016, 31(5): 1260-1267. doi: 10.13224/j.cnki.jasp.2016.05.030
引用本文: 胡宇, 张世英, 罗雷, 朱杰堂, 马鸿飞. 基于自适应容积卡尔曼滤波方法的涡扇发动机气路部件故障诊断[J]. 航空动力学报, 2016, 31(5): 1260-1267. doi: 10.13224/j.cnki.jasp.2016.05.030
HU Yu, ZHANG Shi-ying, LUO Lei, ZHU Jie-tang, MA Hong-fei. Turbofan engine gas path components fault diagnosis based on adaptive cubature Kalman filter[J]. Journal of Aerospace Power, 2016, 31(5): 1260-1267. doi: 10.13224/j.cnki.jasp.2016.05.030
Citation: HU Yu, ZHANG Shi-ying, LUO Lei, ZHU Jie-tang, MA Hong-fei. Turbofan engine gas path components fault diagnosis based on adaptive cubature Kalman filter[J]. Journal of Aerospace Power, 2016, 31(5): 1260-1267. doi: 10.13224/j.cnki.jasp.2016.05.030

基于自适应容积卡尔曼滤波方法的涡扇发动机气路部件故障诊断

doi: 10.13224/j.cnki.jasp.2016.05.030
详细信息
    作者简介:

    胡宇(1984-),男,湖南湘阴人,讲师,博士,研究领域为涡扇发动机建模与故障诊断.

  • 中图分类号: V233.7

Turbofan engine gas path components fault diagnosis based on adaptive cubature Kalman filter

  • 摘要: 针对涡扇发动机气路部件故障诊断中参数存在不同的噪声统计特性,提出了一种自适应平方根容积卡尔曼滤波(ASRCKF)器的自适应滤波方法.该方法直接利用基于3阶容积积分方法近似发动机的非线性统计特性,用于替代非线性无迹卡尔曼滤波方法的系统模型,避免了滤波过程参数选取的问题;采用移动窗口法对噪声协方差矩阵进行自适应估计,提高了算法对不同统计特性噪声的自适应能力和滤波精度.通过对发动机气路部件健康参数蜕化过程仿真结果表明:ASRCKF方法相比平方根容积卡尔曼滤波(SRCKF)方法,精度提高40%~50%,对不同噪声信号具有更好的适应能力.

     

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出版历程
  • 收稿日期:  2014-08-21
  • 刊出日期:  2016-05-28

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