Anvar, A.Dowling, T.Putland, T.Anvar, A.Grainger, S.2013-04-182013-04-182012Proceedings of the World Academy of Science, Engineering and Technology, 2012; 70:1402-14082010-3778http://hdl.handle.net/2440/77023This 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.enCopyright status unknownIntelligent Techniques, Condition Monitoring Systems, ICMSRobotsFaultUnmanned Aerial VehicleUAVNeural NetworksDiagnosisFuzzy LogicPrognosisRemedy.Intelligent condition monitoring systems for unmanned aerial vehicle robotsJournal article002012442621845Grainger, S. [0000-0003-4664-7320]