M. S., Mat Jahak and M. A. H., Rasid (2024) Modeling bearing temperature of DC machine in no-load condition using transfer function. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 239-249., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8
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Abstract
Bearing is a critical component in an electrical machine which get continuous monitoring and included in scheduled predictive maintenance. The temperature of the bearing is a valuable information that may allow early fault detection, lubrication assessment, and overloading indication of the system driven. Using the temperature measurement of the bearing and comparing it to a baseline temperature in real time will allow early warning of any eventual fault. This paper proposes a thermal model for the bearing in a brushed DC machine, developed using transfer function that will predict the temperature increase contributed specifically by speed variation. The transfer function was found by identification using experimental temperature of the bearing at a speed ranging from 20 to 100% of its rated speed while being at no load. The result shows that the first-order transfer function was found to be the best with a model identification MSE of less than 0.23. The slight variation on the poles of the system indicates that the thermal system of the bearing inside an electrical machine does not obey exactly the LTI hypothesis.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Bearing, Thermal analysis, Transfer function, Condition monitoring, Brushed dc machine |
Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
Depositing User: | Dr. Mohd Azri Hizami Rasid |
Date Deposited: | 24 May 2024 02:07 |
Last Modified: | 24 May 2024 02:07 |
URI: | http://umpir.ump.edu.my/id/eprint/38565 |
Download Statistic: | View Download Statistics |
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