故障诊断的神经网络多重模型自适应方法

ANN-BASED MMAF FAILURE DETECTION

将神经网络与故障诊断的多重模型自适应方法相结合，提出了故障诊断的神经网络多重模型自适应方法，并对某型航空发动机控制系统传感器故障进行诊断仿真。仿真表明，该方法能够用来解决具有模型不确定性系统的故障诊断问题，同时。

Artificial neural network(ANN)and Multiple Model Adaptive Filter(MMAF)are combined in a new failure detection method-ANN-based MMAF,which uses ANN's self-learning ability instead of analytical computation of the filter design.Numerical simulations of an areoengine have been performed to detect the sensor failure of the control system.The results show that this method not only can detect the failure of the system with an uncertain model,but also has self-learning ability for the unknown failure pattern.