Neural network-based aero-engine sensor fault self-diagnosis method
A sensor failure, aero-engine technology, used in instruments, computer parts, character and pattern recognition, etc., to ensure safe and reliable operation
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[0054] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in detail:
[0055] The specific embodiment of the present invention takes the fault diagnosis of a low-pressure rotor speed sensor of a certain type of turbofan engine as an example. figure 1 shown. At time t, the turbofan engine receives the control variable u t , the model outputs the low-pressure rotor speed X t It is sensed by the sensor, and the data is stored in the historical database as the training sample of the probability distribution function prediction model and the input value of the real-time prediction. The training process and real-time prediction process of the prediction model adopts a dual-thread mode. In the first thread, randomly sample training samples from the historical database as the training set, calculate the loss function L=-∑lnP for each training round, train the neural network, and update the neural network parameter vector Where k...
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