%0 Journal Article
	%A A. P. Anvar and  T. Dowling and  T. Putland and  A. M. Anvar and  S.Grainger
	%D 2012
	%J International Journal of Aerospace and Mechanical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 70, 2012
	%T Intelligent Condition Monitoring Systems for Unmanned Aerial Vehicle Robots
	%U https://publications.waset.org/pdf/6163
	%V 70
	%X This paper presents the application of Intelligent
Techniques to the various duties of Intelligent Condition Monitoring
Systems (ICMS) for Unmanned Aerial Vehicle (UAV) Robots. These
Systems are intended to support these Intelligent Robots in the event
of a Fault occurrence. Neural Networks are used for Diagnosis, whilst
Fuzzy Logic is intended for Prognosis and Remedy. The ultimate
goals of ICMS are to save large losses in financial cost, time and
data.
	%P 2129 - 2135