The detection of shaft misalignments using motor current signals from a sensorless variable speed drive

Ahmed Benghozzi, Ann Smith, Fengshou Gu, Andrew Ball

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

2 Citations (Scopus)

Abstract

Shaft misalignments are common problems in rotating machines which cause additional dynamic and static loads, and vibrations in the system, leading to early damages and energy loss. It has been shown previously that it is possible to use motor current signature analysis to detect and diagnose this fault in motor drives. However, with a variable speed drive (VSD) system, it becomes difficult to detect faults as the drive compensates for the small changes from fault effects and increased noise in the measured data. In this paper, motor current signatures including dynamic and static data have been investigated for misalignment diagnosis in a VSD system. The study has made a systemic comparison of different control parameters between two common operation modes: open loop and sensorless control. Results show that fault detection features on the motor current from the sensorless mode can be the same as those of the open loop mode, however, the detection and diagnosis is significantly more difficult. In contrast, because of the additional frictional load, features from static data show results of early detection and diagnosis of different degrees of misalignment is as good as that from conventional vibration methods.

LanguageEnglish
Title of host publicationVibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014
PublisherKluwer Academic Publishers
Pages173-182
Number of pages10
Volume23
ISBN (Electronic)9783319099170
DOIs
Publication statusPublished - 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)

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

Variable speed drives
Fault detection
Failure analysis
Energy dissipation

Cite this

Benghozzi, A., Smith, A., Gu, F., & Ball, A. (2015). The detection of shaft misalignments using motor current signals from a sensorless variable speed drive. In Vibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014 (Vol. 23, pp. 173-182). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-319-09918-7_15
Benghozzi, Ahmed ; Smith, Ann ; Gu, Fengshou ; Ball, Andrew. / The detection of shaft misalignments using motor current signals from a sensorless variable speed drive. Vibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014. Vol. 23 Kluwer Academic Publishers, 2015. pp. 173-182
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abstract = "Shaft misalignments are common problems in rotating machines which cause additional dynamic and static loads, and vibrations in the system, leading to early damages and energy loss. It has been shown previously that it is possible to use motor current signature analysis to detect and diagnose this fault in motor drives. However, with a variable speed drive (VSD) system, it becomes difficult to detect faults as the drive compensates for the small changes from fault effects and increased noise in the measured data. In this paper, motor current signatures including dynamic and static data have been investigated for misalignment diagnosis in a VSD system. The study has made a systemic comparison of different control parameters between two common operation modes: open loop and sensorless control. Results show that fault detection features on the motor current from the sensorless mode can be the same as those of the open loop mode, however, the detection and diagnosis is significantly more difficult. In contrast, because of the additional frictional load, features from static data show results of early detection and diagnosis of different degrees of misalignment is as good as that from conventional vibration methods.",
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Benghozzi, A, Smith, A, Gu, F & Ball, A 2015, The detection of shaft misalignments using motor current signals from a sensorless variable speed drive. in Vibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014. vol. 23, Kluwer Academic Publishers, pp. 173-182, 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_15

The detection of shaft misalignments using motor current signals from a sensorless variable speed drive. / Benghozzi, Ahmed; Smith, Ann; Gu, Fengshou; Ball, Andrew.

Vibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014. Vol. 23 Kluwer Academic Publishers, 2015. p. 173-182.

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

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N2 - Shaft misalignments are common problems in rotating machines which cause additional dynamic and static loads, and vibrations in the system, leading to early damages and energy loss. It has been shown previously that it is possible to use motor current signature analysis to detect and diagnose this fault in motor drives. However, with a variable speed drive (VSD) system, it becomes difficult to detect faults as the drive compensates for the small changes from fault effects and increased noise in the measured data. In this paper, motor current signatures including dynamic and static data have been investigated for misalignment diagnosis in a VSD system. The study has made a systemic comparison of different control parameters between two common operation modes: open loop and sensorless control. Results show that fault detection features on the motor current from the sensorless mode can be the same as those of the open loop mode, however, the detection and diagnosis is significantly more difficult. In contrast, because of the additional frictional load, features from static data show results of early detection and diagnosis of different degrees of misalignment is as good as that from conventional vibration methods.

AB - Shaft misalignments are common problems in rotating machines which cause additional dynamic and static loads, and vibrations in the system, leading to early damages and energy loss. It has been shown previously that it is possible to use motor current signature analysis to detect and diagnose this fault in motor drives. However, with a variable speed drive (VSD) system, it becomes difficult to detect faults as the drive compensates for the small changes from fault effects and increased noise in the measured data. In this paper, motor current signatures including dynamic and static data have been investigated for misalignment diagnosis in a VSD system. The study has made a systemic comparison of different control parameters between two common operation modes: open loop and sensorless control. Results show that fault detection features on the motor current from the sensorless mode can be the same as those of the open loop mode, however, the detection and diagnosis is significantly more difficult. In contrast, because of the additional frictional load, features from static data show results of early detection and diagnosis of different degrees of misalignment is as good as that from conventional vibration methods.

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Benghozzi A, Smith A, Gu F, Ball A. The detection of shaft misalignments using motor current signals from a sensorless variable speed drive. In Vibration Engineering and Technology of Machinery - Proceedings of VETOMAC X, 2014. Vol. 23. Kluwer Academic Publishers. 2015. p. 173-182 https://doi.org/10.1007/978-3-319-09918-7_15