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Filtering by: Subject Engineering inspection -- Mathematical models Subject System failures (Engineering) -- Mathematical models

A framework to model reliability and failures in complex systems during the early engineering design process

Creator:

O'Halloran, Bryan M.

Abstract:

An open area of research in complex systems is to move reliability and failure assessments earlier in the engineering design process. When compared to later design, early decisions are cost effective and have a large impact on the system. Standard methods are limited by the availability of data and often...

Resource Type:

Dissertation

Full Text:

Mechanical Engineering presented on May 3, 2013. Title: A FRAMEWORK TO MODEL RELIABILITY AND FAILURES IN
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

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of Master of Science in Electrical and Computer Engineering presented on December 6, 2004. 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

ScholarsArchive@OSU

A framework to model reliability and failures in complex systems during the early engineering design process

Detection of induction motor stator abnormalities using motor current signature analysis

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

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