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基于多模型简化CDKF的故障诊断方法

邱岳恒 章卫国 赵鹏轩 刘小雄

邱岳恒, 章卫国, 赵鹏轩, 等 . 基于多模型简化CDKF的故障诊断方法[J]. 北京航空航天大学学报, 2013, 39(7): 968-972.
引用本文: 邱岳恒, 章卫国, 赵鹏轩, 等 . 基于多模型简化CDKF的故障诊断方法[J]. 北京航空航天大学学报, 2013, 39(7): 968-972.
Qiu Yueheng, Zhang Weiguo, Zhao Pengxuan, et al. Fault diagnosis approach based on multiple model estimator with simplified CDKF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 968-972. (in Chinese)
Citation: Qiu Yueheng, Zhang Weiguo, Zhao Pengxuan, et al. Fault diagnosis approach based on multiple model estimator with simplified CDKF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 968-972. (in Chinese)

基于多模型简化CDKF的故障诊断方法

基金项目: 航空科学基金资助项目(20100753009)
详细信息
  • 中图分类号: TP 273

Fault diagnosis approach based on multiple model estimator with simplified CDKF

  • 摘要: 针对使用传统卡尔曼滤波器对非线性系统进行故障诊断,估计精度低的问题,提出了一种新的故障诊断方法.该方法结合多模型自适应估计和简化中央差分卡尔曼滤波器的优点,能在线快速地检测出故障,利用中央差分代替了雅可比矩阵的求解,使系统状态估计准确收敛到真实值附近,而且避免了反复求解量测预测方差等一系列繁杂过程.在执行机构不同故障的情况下,通过与其他算法进行诊断对比,结果表明提出的算法在精度上和运行速度上具有明显的优势.

     

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出版历程
  • 收稿日期:  2012-07-30
  • 网络出版日期:  2013-07-30

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