Intelligent condition monitoring systems for unmanned aerial vehicle robots
Date
2012
Authors
Anvar, A.
Dowling, T.
Putland, T.
Anvar, A.
Grainger, S.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Proceedings of the World Academy of Science, Engineering and Technology, 2012; 70:1402-1408
Statement of Responsibility
A. P. Anvar, T. Dowling, T. Putland, A. M. Anvar, and S. Grainger
Conference Name
Abstract
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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright status unknown