Abstract
Motor current signature analysis has been investigated widely for diagnosing faults of induction motors. However, most of these studies are based on open loop drives. This paper examines the performance of diagnosing motor stator faults under both open and closed loop operation modes. It examines the effectiveness of conventional diagnosis features in both motor current and voltage signals using spectrum analysis. Evaluation results show that the stator fault causes an increase in the sideband amplitude of motor current signature only when the motor is under the open loop control. However, the increase inside bands can be observed in both the current and voltage signals under the sensorless control mode, showing that it is more promising in diagnosing the stator faults under the sensorless control operation.
Original language | English |
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Title of host publication | Proceedings of the 21st International Conference on Automation & Computing |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9780992680114, 9780992680107 |
DOIs | |
Publication status | Published - 2 Nov 2015 |
Event | 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth - University of Strathclyde, Glasgow, United Kingdom Duration: 11 Sep 2015 → 12 Sep 2015 Conference number: 21 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7301994 (Link to Conference Proceedings) |
Conference
Conference | 21st International Conference on Automation and Computing |
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Abbreviated title | ICAC 2015 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 11/09/15 → 12/09/15 |
Internet address |
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