Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals

Naima Hamad, Xiuquan Sun, Ruiliang Zhang, Samieh Abusaad, Fengshou Gu, Andrew D. Ball

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

Abstract

To improve diagnostic performance, this paper investigates two instantaneous phase quantities: instantaneous power factor (IPF) and instantaneous phase of voltage and current (IPVI) for effectively combining the diagnostic information from both voltage and current measurements. It has shown by an experimental evaluation of oil shortages in a gearbox that the average values of IPF give clear indication of different levels of oil shortages. However, as the dynamic information has been cancelled out largely by the phase subtraction of IPF, it shows less diagnostic information to explain the effect of oil shortages on rotational oscillations of the gearbox. Comparatively, IPVI yields much better diagnostics in separating the oil shortages in wider operating conditions. This mainly because that IPVF is a summation of the two-phase quantities which enhances the signal to noise ratio and consequently the diagnostic performance.

Original languageEnglish
Title of host publication2018 24th IEEE International Conference on Automation and Computing (ICAC)
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781862203426, 9781862203419
ISBN (Print)9781538648919
DOIs
Publication statusPublished - 1 Jul 2019
Event24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing - Newcastle University, Newcastle upon Tyne, United Kingdom
Duration: 6 Sep 20187 Sep 2018
Conference number: 24
https://ieeexplore.ieee.org/xpl/conhome/8742895/proceeding (Website Containing the Proceedings)
http://www.cacsuk.co.uk/index.php/conferences/icac (Link to Conference Information)

Conference

Conference24th IEEE International Conference on Automation and Computing
Abbreviated titleICAC 2018
CountryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18
Internet address

Fingerprint

Gearbox
Shortage
Instantaneous
Lubricants
Diagnostics
Oils
Voltage
Voltage measurement
Electric current measurement
Subtraction
Signal to noise ratio
Experimental Evaluation
Summation
Oscillation
Electric potential

Cite this

Hamad, N., Sun, X., Zhang, R., Abusaad, S., Gu, F., & Ball, A. D. (2019). Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals. In X. Ma (Ed.), 2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing [8748999] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2018.8748999
Hamad, Naima ; Sun, Xiuquan ; Zhang, Ruiliang ; Abusaad, Samieh ; Gu, Fengshou ; Ball, Andrew D. / Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals. 2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing. editor / Xiandong Ma. Institute of Electrical and Electronics Engineers Inc., 2019.
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abstract = "To improve diagnostic performance, this paper investigates two instantaneous phase quantities: instantaneous power factor (IPF) and instantaneous phase of voltage and current (IPVI) for effectively combining the diagnostic information from both voltage and current measurements. It has shown by an experimental evaluation of oil shortages in a gearbox that the average values of IPF give clear indication of different levels of oil shortages. However, as the dynamic information has been cancelled out largely by the phase subtraction of IPF, it shows less diagnostic information to explain the effect of oil shortages on rotational oscillations of the gearbox. Comparatively, IPVI yields much better diagnostics in separating the oil shortages in wider operating conditions. This mainly because that IPVF is a summation of the two-phase quantities which enhances the signal to noise ratio and consequently the diagnostic performance.",
keywords = "Gearbox, Instatnanuoues phase, Lubricant shortage, Power factor, Sensorless VSD",
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Hamad, N, Sun, X, Zhang, R, Abusaad, S, Gu, F & Ball, AD 2019, Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals. in X Ma (ed.), 2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing., 8748999, Institute of Electrical and Electronics Engineers Inc., 24th IEEE International Conference on Automation and Computing, Newcastle upon Tyne, United Kingdom, 6/09/18. https://doi.org/10.23919/IConAC.2018.8748999

Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals. / Hamad, Naima; Sun, Xiuquan; Zhang, Ruiliang; Abusaad, Samieh; Gu, Fengshou; Ball, Andrew D.

2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing. ed. / Xiandong Ma. Institute of Electrical and Electronics Engineers Inc., 2019. 8748999.

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

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Hamad N, Sun X, Zhang R, Abusaad S, Gu F, Ball AD. Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals. In Ma X, editor, 2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing. Institute of Electrical and Electronics Engineers Inc. 2019. 8748999 https://doi.org/10.23919/IConAC.2018.8748999