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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiangyang Xu, Guanrui Liu, Xihui Liang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	planetary gear dynamics magnetomotive force air gap magnetic field induction motor fault detection Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/23e8f57e1aff41efb05d658cc940a0f1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:23e8f57e1aff41efb05d658cc940a0f1
record_format	dspace
spelling	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)
institution	DOAJ
collection	DOAJ
language	EN
topic	planetary gear dynamics magnetomotive force air gap magnetic field induction motor fault detection Mechanical engineering and machinery TJ1-1570
spellingShingle	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

Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox

Ejemplares similares