An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis

Naima Hamad, Khaldoon F. Brethee, Fengshou Gu, Andrew D. Ball

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

4 Citations (Scopus)

Abstract

Motor current signature analysis (MCSA) is regarded as an effective technique for motor and its downstream equipment fault diagnostics. However, limited work has been carried out for motors based on a sensorless variable speed drive (VSD). This study focuses on investigation of mechanical fault detection and diagnosis using electrical signatures from a VSD system. An analytic analysis was conducted to show that the fault can induce sidebands in instantaneous current, voltage and power signals in the VSD system, rather than just the sideband in a drive without closed loop control. Then different degrees of tooth breakages in an industrial two-stage helical gearbox were experimentally studied. It has found that even though the measured signal is very noisy, common spectrum analysis can discriminate the small sidebands for the fault detection and diagnosis. However, it has found that the power signals resulted from the multiplication of the current and voltage can provide a better diagnostic results.

Original languageEnglish
Title of host publication22nd International Conference on Automation and Computing
Subtitle of host publication Tackling the New Challenges in Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages329-335
Number of pages7
ISBN (Electronic)9781862181311
DOIs
Publication statusPublished - 24 Oct 2016
Event22nd International Conference on Automation and Computing - Colchester, United Kingdom
Duration: 7 Sep 20168 Sep 2016
Conference number: 22

Conference

Conference22nd International Conference on Automation and Computing
Abbreviated titleICAC 2016
CountryUnited Kingdom
CityColchester
Period7/09/168/09/16

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Hamad, N., Brethee, K. F., Gu, F., & Ball, A. D. (2016). An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis. In 22nd International Conference on Automation and Computing: Tackling the New Challenges in Automation and Computing (pp. 329-335). [7604941] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2016.7604941