الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Detecting faults in contemporary producers via identifying its system parameters is an essential issue regarded as system identification. Early detection and identification of faults helps to keep away from larger troubles that can take place for the system and additionally helps in maintenance operations.In many applications, a microstrip array antenna that contain large number of radiating elements is widely used in recent years; hence there is always a possibility that one or more elements may be fail at any time. The fault can cause an abrupt fault conditions which widely encountered in practical instances as so-called on/off fault. Hence the smart solutions become very essential to detect and identify this type of fault.The research has been carried out in various stages; the first one is the design and simulation of the proposed system (microstrip antenna) as two antenna models.The second stage is the generation of an on/off fault which is regarded as one of the very essential faults that possibly happen for this type of antenna, beside monitoring and analyzing the impact of the fault on the all antenna performance. High frequency structural simulator (HFSS) software program was used to design and simulate the antenna in healthy and faulty conditions to achieve all the characteristic parameters of every case.The third stage is the fabrication as a system implementation for the two antenna models and the sensible measurements in specific laboratory were done.The fourth stage (as computerized work) is the design of fault detection system by using artificial neural network and support vector machine with MATLAB software program to identify and locate idle elements instances and then predict the values of the primary parameters associated to every case.