Investigation of motor current signature analysis to detect motor resistance imbalances

M. Lane, D. Ashari, F. Gu, A. D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The trend to use inverter drives in industry is well established. It is desirable to monitor the condition of the motor/drive combination with the minimum of system intervention and at the same time retaining compatibility with the latest generation of AC PWM vector drives. This paper studies the effect that an increase in motor stator resistance has on the motor performance, efficiency and voltage/current characteristics during operation of a latest-generation unmodified AC PWM drive under varying speed conditions. The increased resistance is intended to simulate the onset of a failing connection between drive and motor but one that is non-critical and will remain undetected in use because the resistance increase is small and does not appear to affect the motor operation. Performance of the motor/drive combination is measured against baseline motor data for the resistance increase. Measurements are also taken following an autotune on the drive to observe the effects that motor stator resistance imbalance has on the sensorless vector control algorithms. All data collection signals are post-processed using data analysis methods developed for MATLAB. Initial results from the motor tests clearly show a difference in values measured from the motor current and voltage signals post-processed under MATLAB and the asymmetry values equally show the 0.1Ω resistance increase. The test results are presented herein and future research work is identified.

LanguageEnglish
Title of host publication2015 21st International Conference on Automation and Computing
Subtitle of host publicationAutomation, Computing and Manufacturing for New Economic Growth, ICAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780992680114
DOIs
Publication statusPublished - 2 Nov 2015
Event21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth - University of Strathclyde, Glasgow, United Kingdom
Duration: 11 Sep 201512 Sep 2015
Conference number: 21
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7301994 (Link to Conference Proceedings)

Conference

Conference21st International Conference on Automation and Computing
Abbreviated titleICAC
CountryUnited Kingdom
CityGlasgow
Period11/09/1512/09/15
Internet address

Fingerprint

Signature
Pulse width modulation
Stators
MATLAB
Voltage
Resistance
Sensorless Control
Vector Control
Inverter
Current voltage characteristics
Compatibility
Control Algorithm
Asymmetry
Baseline
Data analysis
Monitor
Industry
Electric potential

Cite this

Lane, M., Ashari, D., Gu, F., & Ball, A. D. (2015). Investigation of motor current signature analysis to detect motor resistance imbalances. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015 [7313945] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2015.7313945
Lane, M. ; Ashari, D. ; Gu, F. ; Ball, A. D. / Investigation of motor current signature analysis to detect motor resistance imbalances. 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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Lane, M, Ashari, D, Gu, F & Ball, AD 2015, Investigation of motor current signature analysis to detect motor resistance imbalances. in 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015., 7313945, Institute of Electrical and Electronics Engineers Inc., 21st International Conference on Automation and Computing, Glasgow, United Kingdom, 11/09/15. https://doi.org/10.1109/IConAC.2015.7313945

Investigation of motor current signature analysis to detect motor resistance imbalances. / Lane, M.; Ashari, D.; Gu, F.; Ball, A. D.

2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7313945.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lane M, Ashari D, Gu F, Ball AD. Investigation of motor current signature analysis to detect motor resistance imbalances. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7313945 https://doi.org/10.1109/IConAC.2015.7313945