Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals

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

doi:10.23919/IConAC.2018.8748999

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 proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	2018 24th IEEE International Conference on Automation and Computing (ICAC)
Subtitle of host publication	Improving Productivity through Automation and Computing
Editors	Xiandong Ma
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781862203426, 9781862203419
ISBN (Print)	9781538648919
DOIs	https://doi.org/10.23919/IConAC.2018.8748999
Publication status	Published - 1 Jul 2019
Event	24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing - Newcastle University, Newcastle upon Tyne, United Kingdom Duration: 6 Sep 2018 → 7 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

Conference	24th IEEE International Conference on Automation and Computing
Abbreviated title	ICAC 2018
Country/Territory	United Kingdom
City	Newcastle upon Tyne
Period	6/09/18 → 7/09/18
Internet address	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)

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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

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title = "Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals",

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",

author = "Naima Hamad and Xiuquan Sun and Ruiliang Zhang and Samieh Abusaad and Fengshou Gu and Ball, {Andrew D.}",

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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 et al.

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 proceeding › Conference contribution › peer-review

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T1 - Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals

AU - Hamad, Naima

AU - Sun, Xiuquan

AU - Zhang, Ruiliang

AU - Abusaad, Samieh

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Conference code: 24

PY - 2019/7/1

Y1 - 2019/7/1

N2 - 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.

AB - 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.

KW - Gearbox

KW - Instatnanuoues phase

KW - Lubricant shortage

KW - Power factor

KW - Sensorless VSD

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M3 - Conference contribution

SN - 9781538648919

BT - 2018 24th IEEE International Conference on Automation and Computing (ICAC)

A2 - Ma, Xiandong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Conference on Automation and Computing

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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 doi: 10.23919/IConAC.2018.8748999

Diagnosing lubricant shortages in gearboxes using instantaneous phases from electrical signals

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