An Adaptive Fault Detection Method for Aircraft Rotary Actuator Drives Based on Deep Learning
A technology for rotating actuators and driving devices, which is applied in the directions of instruments, electrical testing/monitoring, testing/monitoring control systems, etc., to achieve the effect of increasing the number of layers, improving the generalization ability, and reducing the detection false alarm rate.
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[0051] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0052] The invention discloses an adaptive fault detection method for an aircraft rotary actuator drive device based on deep learning. Adaptive fault detection for rotary actuator drives. On the basis of the fault analysis of the aircraft rotary actuator drive device, and aiming at the problems of the current classification algorithm with limited robustness and precision, this method draws on the relevant field knowledge of image pattern recognition, and adopts deep learning based on multi-layer neural network for self-identification. The known method realizes the self-expression of the original data under the condition of input partial occlusion by using the sparse Dropout autoencoder in the first layer and the cascaded denoising autoencoder model in the second and third layers, and inputs the reconstructed data into the Logistic The regression mode...
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