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Filtering by: Subject Engineering inspection -- Mathematical models Remove constraint Subject: Engineering inspection -- Mathematical models Decade 2000-2009 Remove constraint Decade: 2000-2009 Peer Reviewed No Remove constraint Peer Reviewed: No

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  • Detection of induction motor stator abnormalities using motor current signature analysis

    Creator:
    Bin Eid, Ghassan A.
    Abstract:
    Induction motors are considered to be the work horse in all types of today's industries. In all mechanical applications, using an induction motor is considered to be the preferable, if not the optimum selection. Their failures, on the other hand, cause an interruption equal to their volume of dependency in...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Electrical and Computer Engineering presented on December 6, 2004. Title

  • Analysis of moving loads using force-based finite elements

    Creator:
    Kidarsa, Adrian
    Abstract:
    An analysis method for moving loads computes the internal demand history in a structural member at integration points of force-based finite elements as opposed to the end forces of a refined displacement-based finite element mesh. The force-based formulation satisfies strong equilibrium of internal section forces with the element end forces...
    Resource Type:
    Masters Thesis
    Full Text:
    Kidarsa for the degree of Master of Science in Civil Engineering presented on June 14, 2006. Title

  • Detection of incipient rotor bar faults and air-gap asymmetries in squirrel-cage motors using stator current monitoring

    Creator:
    Al Tuaimi, Hamad A.
    Abstract:
    Preventative motor fault detection is of prime importance for modern plant management. During research into rotor faults, performed at the Motor Systems Resource Facility (MSRF), an optimized rotor fault detection and classification method was proposed. In critical process applications, the suggested method would provide the foundation for continually monitoring a...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Electrical and Computer Engineering presented on March 14, 2005. Title