Resumo:
This work presents aspects of predictive maintenance of Direct Current Motors, with special
focus on the technique of MCSA - Motor Current Signature Analysis, originally developed
for the application in Three-phase Induction Motors. The motivation for its development
comes from the need of reducing maintenance costs and increase equipment availability in
industrial plants. After reviewing the concepts of this work, a lab experiment was performed
(where the technique was used to detect bearing problems), fieldwork was done to detect load
failure of a motor used in an aluminum rolling mill). In both tests, the objective was to
identify, in the frequency spectrum of the current ripple the elements that identify the
signature of the imperfections. All the results matched the theoretical expectation, permitting
identification of incipient failures. Thus, MCSA was considered of great value and the
development of new predictive maintenance technique is recommended.
