Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive

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

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

4 Citations (Scopus)

Abstract

Maintaining the efficiency of AC motors in site equipment is important, given the increasing cost of energy. Reduction of motor efficiency from baseline manufacturer data can go undetected until total failure of the equipment is experienced. This paper introduces motor current signature analysis methods used to detect the early onset of motor efficiency reduction in AC motors controlled by modern Sensorless-Vector Variable Speed Control inverters. A step increase in the resistance of one stator winding is simulated in stages. Off-line processing of motor current data signals using data analysis methods developed for the MATLAB platform is used to identify imbalances caused by subtle stator resistance increases. Initial results indicate that small increases in stator resistances can be observed in the motor current signals received after data processing techniques have been used on the measured signals. The test results are presented herein along with details on the research work to be continued.
Original languageEnglish
Title of host publicationVibration Engineering and Technology of Machinery
Subtitle of host publicationProceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014
EditorsJyoti K. Sinha
Place of PublicationCham
PublisherSpringer Netherlands
Pages801-810
Number of pages10
ISBN (Electronic)9783319099187
ISBN (Print)9783319099170
DOIs
Publication statusPublished - 15 Aug 2015
Event10th International Conference on Vibration Engineering and Technology of Machinery - Manchester Conference Centre, Manchester, United Kingdom
Duration: 9 Sep 201411 Sep 2014
Conference number: 10
http://www.mace.manchester.ac.uk/our-research/seminars/vetomac-x-2014/ (Link to Conference Details)

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume23
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference10th International Conference on Vibration Engineering and Technology of Machinery
Abbreviated titleVETOMAC 2014
CountryUnited Kingdom
CityManchester
Period9/09/1411/09/14
Internet address

Fingerprint

Induction motors
Stators
AC motors
Speed control
MATLAB
Vector control (Electric machinery)
Processing
Costs

Cite this

Lane, M., Ashari, D., Gu, F., & Ball, A. D. (2015). Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. In J. K. Sinha (Ed.), Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014 (pp. 801-810). (Mechanisms and Machine Science; Vol. 23). Cham: Springer Netherlands. https://doi.org/10.1007/978-3-319-09918-7_71
Lane, M. ; Ashari, D. ; Gu, F. ; Ball, A. D. / Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014. editor / Jyoti K. Sinha. Cham : Springer Netherlands, 2015. pp. 801-810 (Mechanisms and Machine Science).
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title = "Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive",
abstract = "Maintaining the efficiency of AC motors in site equipment is important, given the increasing cost of energy. Reduction of motor efficiency from baseline manufacturer data can go undetected until total failure of the equipment is experienced. This paper introduces motor current signature analysis methods used to detect the early onset of motor efficiency reduction in AC motors controlled by modern Sensorless-Vector Variable Speed Control inverters. A step increase in the resistance of one stator winding is simulated in stages. Off-line processing of motor current data signals using data analysis methods developed for the MATLAB platform is used to identify imbalances caused by subtle stator resistance increases. Initial results indicate that small increases in stator resistances can be observed in the motor current signals received after data processing techniques have been used on the measured signals. The test results are presented herein along with details on the research work to be continued.",
keywords = "Unbalanced, Efficiency, Single stator resistance increase, MCSA, PWM, Random switching pattern, IAS",
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Lane, M, Ashari, D, Gu, F & Ball, AD 2015, Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. in JK Sinha (ed.), Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014. Mechanisms and Machine Science, vol. 23, Springer Netherlands, Cham, pp. 801-810, 10th International Conference on Vibration Engineering and Technology of Machinery, Manchester, United Kingdom, 9/09/14. https://doi.org/10.1007/978-3-319-09918-7_71

Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. / Lane, M.; Ashari, D.; Gu, F.; Ball, A. D.

Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014. ed. / Jyoti K. Sinha. Cham : Springer Netherlands, 2015. p. 801-810 (Mechanisms and Machine Science; Vol. 23).

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

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T1 - Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive

AU - Lane, M.

AU - Ashari, D.

AU - Gu, F.

AU - Ball, A. D.

PY - 2015/8/15

Y1 - 2015/8/15

N2 - Maintaining the efficiency of AC motors in site equipment is important, given the increasing cost of energy. Reduction of motor efficiency from baseline manufacturer data can go undetected until total failure of the equipment is experienced. This paper introduces motor current signature analysis methods used to detect the early onset of motor efficiency reduction in AC motors controlled by modern Sensorless-Vector Variable Speed Control inverters. A step increase in the resistance of one stator winding is simulated in stages. Off-line processing of motor current data signals using data analysis methods developed for the MATLAB platform is used to identify imbalances caused by subtle stator resistance increases. Initial results indicate that small increases in stator resistances can be observed in the motor current signals received after data processing techniques have been used on the measured signals. The test results are presented herein along with details on the research work to be continued.

AB - Maintaining the efficiency of AC motors in site equipment is important, given the increasing cost of energy. Reduction of motor efficiency from baseline manufacturer data can go undetected until total failure of the equipment is experienced. This paper introduces motor current signature analysis methods used to detect the early onset of motor efficiency reduction in AC motors controlled by modern Sensorless-Vector Variable Speed Control inverters. A step increase in the resistance of one stator winding is simulated in stages. Off-line processing of motor current data signals using data analysis methods developed for the MATLAB platform is used to identify imbalances caused by subtle stator resistance increases. Initial results indicate that small increases in stator resistances can be observed in the motor current signals received after data processing techniques have been used on the measured signals. The test results are presented herein along with details on the research work to be continued.

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Lane M, Ashari D, Gu F, Ball AD. Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. In Sinha JK, editor, Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014. Cham: Springer Netherlands. 2015. p. 801-810. (Mechanisms and Machine Science). https://doi.org/10.1007/978-3-319-09918-7_71