Artificial Neural Network in the Autopilot System Application of Troubleshooting


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the existing fault diagnosis system in fault detection aspects of Boeing 737 A/P is effective, but in fault isolation aspects performance is poor, therefore using ANN technology need to improve its diagnosis system. A/P for the typical fault, the three layers feed forward artificial neural network structure, this paper introduces the conjugate gradient BP algorithm and gives the diagnosis results. Diagnosis results show that artificial neural network can accurately identify system three typical faults, improve the efficiency of fault diagnosis and fault isolation capability.



Edited by:

Jun Zhang, Zhijian Wang, Shuren Zhu and Xiaoming Meng




P. Zhang and S. C. Zhang, "Artificial Neural Network in the Autopilot System Application of Troubleshooting", Applied Mechanics and Materials, Vols. 263-266, pp. 3198-3202, 2013

Online since:

December 2012




* - Corresponding Author

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