Motor bearing current detection for online bearing health monitoring
Compared to conventional monitoring techniques such as vibration monitoring or temperature monitoring, producing high frequency bearing current-based detection system can monitor the health conditions of the motor bearing. This method also offers significant economic savings and implementation advan...
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2023
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sg-ntu-dr.10356-1672842023-07-07T15:46:18Z Motor bearing current detection for online bearing health monitoring Huang, Jiaxin See Kye Yak School of Electrical and Electronic Engineering EKYSEE@ntu.edu.sg Engineering::Electrical and electronic engineering Compared to conventional monitoring techniques such as vibration monitoring or temperature monitoring, producing high frequency bearing current-based detection system can monitor the health conditions of the motor bearing. This method also offers significant economic savings and implementation advantages. Consequently, bearing current-based detection system has gained much attention significantly over the years in research. Moreover, according to a recent study, bearing faults can be categorized into two classes: single-point defects and generalized roughness. In this research paper, the bearing current-based bearing fault detection method is reviewed under this classification, in an attempt to provide a brief overview of the research in this area. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-25T06:42:21Z 2023-05-25T06:42:21Z 2023 Final Year Project (FYP) Huang, J. (2023). Motor bearing current detection for online bearing health monitoring. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167284 https://hdl.handle.net/10356/167284 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Huang, Jiaxin Motor bearing current detection for online bearing health monitoring |
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Compared to conventional monitoring techniques such as vibration monitoring or temperature monitoring, producing high frequency bearing current-based detection system can monitor the health conditions of the motor bearing. This method also offers significant economic savings and implementation advantages. Consequently, bearing current-based detection system has gained much attention significantly over the years in research. Moreover, according to a recent study, bearing faults can be categorized into two classes: single-point defects and generalized roughness. In this research paper, the bearing current-based bearing fault detection method is reviewed under this classification, in an attempt to provide a brief overview of the research in this area. |
author2 |
See Kye Yak |
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See Kye Yak Huang, Jiaxin |
format |
Final Year Project |
author |
Huang, Jiaxin |
author_sort |
Huang, Jiaxin |
title |
Motor bearing current detection for online bearing health monitoring |
title_short |
Motor bearing current detection for online bearing health monitoring |
title_full |
Motor bearing current detection for online bearing health monitoring |
title_fullStr |
Motor bearing current detection for online bearing health monitoring |
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Motor bearing current detection for online bearing health monitoring |
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motor bearing current detection for online bearing health monitoring |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/167284 |
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