Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox
Motor current signature analysis (MCSA) is a useful technique for planetary gear fault detection. Motor current signals have easier accessibility and are free from time-varying transfer path effects. If the fault symptoms in current signals are well understood, it will be more beneficial to develop...
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MDPI AG
2021
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oai:doaj.org-article:23e8f57e1aff41efb05d658cc940a0f12021-11-25T18:12:14ZResearch on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox10.3390/machines91102772075-1702https://doaj.org/article/23e8f57e1aff41efb05d658cc940a0f12021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/277https://doaj.org/toc/2075-1702Motor current signature analysis (MCSA) is a useful technique for planetary gear fault detection. Motor current signals have easier accessibility and are free from time-varying transfer path effects. If the fault symptoms in current signals are well understood, it will be more beneficial to develop effective current signal processing methods. Some researchers have developed mathematical models to study the characteristics of current signals. However, no one has considered the coupling of rotor eccentricity and gear failures, resulting in an inaccurate analysis of the current signals. This study considers the sun gear failure of a planetary gearbox and the eccentricity of the motor rotor. An improved induction motor model is proposed based on the magnetomotive force (MMF) to simulate the stator current. By analyzing the current, the modulation relationships of gearbox meshing frequency, fault frequency, power supply frequency, and gear rotating frequency are obtained. The proposed model is validated to some extent using experimental data.Xiangyang XuGuanrui LiuXihui LiangMDPI AGarticleplanetary gear dynamicsmagnetomotive forceair gap magnetic fieldinduction motorfault detectionMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 277, p 277 (2021) |
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planetary gear dynamics magnetomotive force air gap magnetic field induction motor fault detection Mechanical engineering and machinery TJ1-1570 |
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planetary gear dynamics magnetomotive force air gap magnetic field induction motor fault detection Mechanical engineering and machinery TJ1-1570 Xiangyang Xu Guanrui Liu Xihui Liang Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
description |
Motor current signature analysis (MCSA) is a useful technique for planetary gear fault detection. Motor current signals have easier accessibility and are free from time-varying transfer path effects. If the fault symptoms in current signals are well understood, it will be more beneficial to develop effective current signal processing methods. Some researchers have developed mathematical models to study the characteristics of current signals. However, no one has considered the coupling of rotor eccentricity and gear failures, resulting in an inaccurate analysis of the current signals. This study considers the sun gear failure of a planetary gearbox and the eccentricity of the motor rotor. An improved induction motor model is proposed based on the magnetomotive force (MMF) to simulate the stator current. By analyzing the current, the modulation relationships of gearbox meshing frequency, fault frequency, power supply frequency, and gear rotating frequency are obtained. The proposed model is validated to some extent using experimental data. |
format |
article |
author |
Xiangyang Xu Guanrui Liu Xihui Liang |
author_facet |
Xiangyang Xu Guanrui Liu Xihui Liang |
author_sort |
Xiangyang Xu |
title |
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
title_short |
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
title_full |
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
title_fullStr |
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
title_full_unstemmed |
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox |
title_sort |
research on the electromagnetic conversion method of stator current for local fault detection of a planetary gearbox |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/23e8f57e1aff41efb05d658cc940a0f1 |
work_keys_str_mv |
AT xiangyangxu researchontheelectromagneticconversionmethodofstatorcurrentforlocalfaultdetectionofaplanetarygearbox AT guanruiliu researchontheelectromagneticconversionmethodofstatorcurrentforlocalfaultdetectionofaplanetarygearbox AT xihuiliang researchontheelectromagneticconversionmethodofstatorcurrentforlocalfaultdetectionofaplanetarygearbox |
_version_ |
1718411486012899328 |