@proceedings {16365,
	title = {Fault diagnosis in robotic manipulators using artificial neural networks and fuzzy logic},
	journal = {2014 World Congress on Computer Applications and Information Systems (WCCAIS)},
	year = {2014},
	address = {Hammamet, Tunisia.},
	abstract = {Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper presents a scheme for fault detection and isolation (FDI) via artificial neural networks and fuzzy logic. It deals with sensors and actuator fault of a three links scara robot. The proposed FDI approach is implemented on Matlab/Simulink software and tested under several types of faults. The obtained results improving the importance of this method. Then, the actuator and sensor fault are detected and isolated successfully.},
	url = {https://ieeexplore.ieee.org/document/6916571}
}
