• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Innovative Computing, Information and Control >A Bank of Kalman Filters and a Robust Kalman Filter Applied in Fault Diagnosis of Aircraft Engine Sensor/Actuator
【24h】

A Bank of Kalman Filters and a Robust Kalman Filter Applied in Fault Diagnosis of Aircraft Engine Sensor/Actuator

机译：卡尔曼滤波器银行和应用于飞机发动机传感器/执行器的故障诊断中的强大卡尔曼滤波器

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, A Robust Kalman filter and a bank of Kalman filters are applied in fault detection and isolation (FDI) of sensor and actuator for aircraft gas turbine engine. A bank of Kalman filters are used to detect and isolate sensor fault, each Kalman filter is designed based on a specific hypothesis for detecting a specific sensor fault. In the event that a fault does occur, all filters except the one using the correct hypothesis will produce large estimation errors, from which a specific fault is isolated. When the Kalman filter is used, failures in the sensors and actuators affect the characteristics of the residual signals of the Kalman filter. While a Robust Kalman filter is used, the decision statistics changes regardless the faults in the sensors or in the actuators, because it is sensitive to sensor fault but insensitive to actuator fault. The proposed FDI approach above, is applied to a nonlinear engine simulation in this paper, and the evaluation results show that this approach to detect and isolate sensor and actuator faults is demonstrated.
机译：在本文中，稳健的卡尔曼滤波器和卡尔曼滤波器堤在飞机燃气涡轮发动机的传感器和致动器的故障检测和隔离（FDI）中应用。一系列卡尔曼滤波器用于检测和隔离传感器故障，每个卡尔曼滤波器都是基于特定假设来设计的，用于检测特定的传感器故障。如果发生故障，除了使用正确假设之外的所有滤波器都会产生大的估计错误，从中孤立特定的故障。当使用卡尔曼滤波器时，传感器和致动器中的故障会影响卡尔曼滤波器的残余信号的特性。在使用强大的卡尔曼滤波器时，无论传感器中的故障还是在执行器中，决策统计数据都会变化，因为它对传感器故障敏感，而且对执行器故障不敏感。本文中提出的FDI方法应用于非线性发动机模拟，评价结果表明，证明了这种检测和隔离传感器和执行器故障的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号