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Instrumentation and experimental investigation of industrial DC machines for condition monitoring purposes

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conference contribution
posted on 2025-05-10, 23:43 authored by Galina MirzaevaGalina Mirzaeva, Terrence SummersTerrence Summers, Robert E. Betz
DC machines continue to be widely used in many applications including mining. No comprehensive condition monitoring tools for large industrial DC machines are available on the market. Recent advances in sensoring, data acquisition and signal processing technologies allow one to obtain real time chracteristics of DC machines directly related to their performance, such as flux density distribution inside the main air gap. This paper is based on a research project sponsored by industry partners that included construction of a test facility and an extensive experimental program with a view of development of a condition monitoring tool. The paper explains about the motor instrumentation, facility structure and tests performed to date. Based on the experimental results, a number of performance characteristics are derived in the paper including steady state, dynamic and digital drive related characteristics, as described in the paper. The findings of the paper are discussed with their potential application to the condition monitoring tool development.

History

Source title

Proceedings of the XIX International Conference on Electrical Machines, ICEM 2010

Name of conference

XIX International Conference on Electrical Machines (ICEM 2010)

Location

Rome, Italy

Start date

2010-09-06

End date

2010-09-08

Pagination

1-6

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Piscataway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

Copyright © 2010 IEEE. Reprinted from the Proceedings of the XIX International Conference on Electrical Machines, ICEM 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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