A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets

Fault diagnosis of geared drive-train systems is usually based on vibration monitoring. However, such vibration based techniques are difficult to implement in planetary gearboxes due to the complex nature of measured vibration spectrum. Motor current signal analysis (MCSA) provides an alternative an...

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Main Authors: Hong, Liu, Dhupia, Jaspreet Singh
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98167
http://hdl.handle.net/10220/18022
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-981672020-03-07T13:26:33Z A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets Hong, Liu Dhupia, Jaspreet Singh School of Mechanical and Aerospace Engineering International Conference on Advanced Intelligent Mechatronics (2013 : Wollongong, Australia) DRNTU::Engineering::Mechanical engineering Fault diagnosis of geared drive-train systems is usually based on vibration monitoring. However, such vibration based techniques are difficult to implement in planetary gearboxes due to the complex nature of measured vibration spectrum. Motor current signal analysis (MCSA) provides an alternative and non-intrusive way to detect mechanical faults through electrical signatures. In this paper, a new time-domain fault detection algorithm is presented for the detection of planetary gear faults using electrical machine stator current signals. This time-domain fault detection method combines fast dynamic time warping (DTW) and correlated kurtosis techniques to process the current signals data to detect and identify damaged planetary gear and its position. Fast DTW is employed to highlight the sideband patterns resulting from tooth damage by the introduction of an estimated reference signal that has the same frequency as the gear mesh frequency. Correlated kurtosis (CK) takes advantages of the periodicity of the geared faults; it is used to identify the position of the damaged gear tooth in the planetary gear-set. This method is later applied to simulated current signals generated from a lumped parameter model of planetary gearbox driving a permanent magnet synchronous generator to evaluate its performance. The simulated results demonstrate the effectiveness of the proposed time-domain approach to detect faults in planetary gear-sets based on the electrical stator current signal. 2013-12-04T04:40:35Z 2019-12-06T19:51:42Z 2013-12-04T04:40:35Z 2019-12-06T19:51:42Z 2013 2013 Conference Paper Hong, L., & Dhupia, J. S. (2013). A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 1631 - 1636. https://hdl.handle.net/10356/98167 http://hdl.handle.net/10220/18022 10.1109/AIM.2013.6584330 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Hong, Liu
Dhupia, Jaspreet Singh
A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
description Fault diagnosis of geared drive-train systems is usually based on vibration monitoring. However, such vibration based techniques are difficult to implement in planetary gearboxes due to the complex nature of measured vibration spectrum. Motor current signal analysis (MCSA) provides an alternative and non-intrusive way to detect mechanical faults through electrical signatures. In this paper, a new time-domain fault detection algorithm is presented for the detection of planetary gear faults using electrical machine stator current signals. This time-domain fault detection method combines fast dynamic time warping (DTW) and correlated kurtosis techniques to process the current signals data to detect and identify damaged planetary gear and its position. Fast DTW is employed to highlight the sideband patterns resulting from tooth damage by the introduction of an estimated reference signal that has the same frequency as the gear mesh frequency. Correlated kurtosis (CK) takes advantages of the periodicity of the geared faults; it is used to identify the position of the damaged gear tooth in the planetary gear-set. This method is later applied to simulated current signals generated from a lumped parameter model of planetary gearbox driving a permanent magnet synchronous generator to evaluate its performance. The simulated results demonstrate the effectiveness of the proposed time-domain approach to detect faults in planetary gear-sets based on the electrical stator current signal.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Hong, Liu
Dhupia, Jaspreet Singh
format Conference or Workshop Item
author Hong, Liu
Dhupia, Jaspreet Singh
author_sort Hong, Liu
title A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
title_short A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
title_full A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
title_fullStr A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
title_full_unstemmed A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
title_sort time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
publishDate 2013
url https://hdl.handle.net/10356/98167
http://hdl.handle.net/10220/18022
_version_ 1681045698613608448