Title :
Research on UAV health evaluation based on PNN
Author :
Kun Zhang ; Deyun Zhou
Author_Institution :
Dept. of Electron. Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
In view of UAV system development and the need of the UAV avionics system health evaluation, this paper establishes UAV state evaluate model of avionics system based on PNN(Probabilistic Neural Networks), designs and realizes UAV avionics system evaluation software. Finally, the simulation result indicates that this algorithm is reasonable and effective. This method can help people to design the avionics system, evaluate the UAV avionics system online and locate avionics system fault.
Keywords :
aerospace computing; aerospace robotics; avionics; design engineering; mobile robots; neural nets; probability; remotely operated vehicles; UAV avionics system evaluation software; UAV health evaluation; UAV state evaluate model; avionics system design; avionics system fault location; probabilistic neural network; Aerospace electronics; Artificial neural networks; Computational modeling; Neurons; Sensor systems; Training; PNN; diagnosis; health evaluation;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028614
