Planetary Gear Fault Detection Based on Mechanical Torque and Stator Current Signatures of a Wound Rotor Induction Generator

2018 ◽  
Vol 33 (3) ◽  
pp. 1072-1085 ◽  
Author(s):  
Mohammad Hoseintabar Marzebali ◽  
Jawad Faiz ◽  
Gerard-Andre Capolino ◽  
Shahin Hedayati Kia ◽  
Humberto Henao
Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 277
Author(s):  
Xiangyang Xu ◽  
Guanrui Liu ◽  
Xihui Liang

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.


2019 ◽  
Vol 117 ◽  
pp. 347-360 ◽  
Author(s):  
Jungho Park ◽  
Moussa Hamadache ◽  
Jong M. Ha ◽  
Yunhan Kim ◽  
Kyumin Na ◽  
...  

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