Title :
Fault diagnosis system of aircraft cable
Author :
Liu Xiaolin ; Shi Shouwen ; Jing Tao ; Shi Xudong
Author_Institution :
Coll. of Aeronaut. Autom., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In order to determine the fault type and fault location of the aircraft cable, a distributed hierarchical aircraft cable fault diagnosis system is designed. Based on the measuring method of time domain reflection, a back propagation neural network is selected as the control algorithm. The experimental results show that the system is rational and effective.
Keywords :
aerospace computing; aircraft maintenance; backpropagation; cables (electric); fault diagnosis; hierarchical systems; neural nets; aircraft cable; back propagation neural network; control algorithm; distributed hierarchical aircraft cable; fault diagnosis system; fault location; fault type; rational system; time domain reflection; Aircraft; Artificial neural networks; Circuit faults; Fault location; Power cables; Reflection; Aircraft Cable; Fault Diagnosis; Neural Network; Time Domain Reflection;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
