传感器测量偏差下的航空发动机智能性能诊断

袁春飞; 姚华

传感器测量偏差下的航空发动机智能性能诊断

袁春飞,
姚华

中国一航动力控制系统研究所, 江苏无锡 214063

基金项目: 江苏省博士后科研资助计划项目

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- 被引次数: 0
出版历程
- 收稿日期: 2005-12-15
- 修回日期: 2006-06-07
- 刊出日期: 2007-01-28

Intelligent perf ormance diagnosis of aeroengine withsensor measurement bias

Aviation Motor Control System Institute, China Aviation Industry Corporation Ⅰ, Wuxi 214063, China

摘要

摘要: 以某型涡扇发动机为研究对象, 构建了基于神经网络的航空发动机智能性能诊断方法, 讨论了测量噪声及测量偏差对诊断结果的影响及其处理方法.建立一簇并行的神经网络组和发动机模型, 通过比较各模型输出与发动机测量参数之间的误差, 判断传感器是否存在测量偏差.仿真结果表明, 该方法能有效消除测量噪声, 准确判断并隔离有测量偏差的传感器, 得出正确的发动机性能诊断结果.
- 航空、航天推进系统 /
- 性能诊断 /
- 神经网络 /
- 消噪
Abstract: An Intelligent aeroengine performance diagnostic method,based on neural networks,was investigated.Sensor measurement deviations from the nominal condition are the only information for the estimation of engine health parameters.They are often distorted by noise and bias,thereby mask the true engine condition and lead to incorrect diagnostic results.A bank of neural networks and engine models was developed.The errors between the model outputs and sensor measurements can be used to detect and isolate the sensor,which has measurement bias.Then the engine performance can be estimated by the set of measurements without biases.The simulation results show that this approach is promising for reliable aero-engine diagnosis.
- aerospace propulsion system /
- performance diagnosis /
- neural networks /
- noise elimination

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参考文献(11)

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