| International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering | |
| BEARING FAULT DETECTION ININDUCTION MOTOR USING MOTORCURRENT SIGNATURE ANALYSIS | |
| article | |
| Akshat Singhal1  Meera A. Khandekar1  | |
| [1] Department Instrumentation & Control, College of Engineering | |
| 关键词: Induction motor; Characteristic Frequency; Fast Fourier Transform; MCSA.; | |
| 来源: Research & Reviews | |
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【 摘 要 】
The health condition of induction motor can be effectively monitored using a non-intrusive method called Motor Current Signature Analysis (MCSA). The concept is to treat the electric motor as an implicit transducer built into motor-driven equipment; the current behaviour can thus be used to show various health conditions of the motor as well as the load it is driving. The objective of this work is to explore the feasibility of MCSA for continuous monitoring and diagnostic purposes. For signal processing we use Fast Fourier Transform. In summary, the findings show promising results which could lead to better reliability performance of the induction motor and lower maintenance costs.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307140000488ZK.pdf | 1024KB |
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