A Comparative Study of Current, Vibration and Stray Magnetic Flux Based Detection for Parallel Misalignment Fault in Induction Motors

Author(s):  
Taner Goktas ◽  
Muslum Arkan ◽  
V. Gurusamy
Author(s):  
Karen Barbosa de Melo ◽  
Marcos Vinicios Gomes dos Reis ◽  
Michelle Kitayama da Silva ◽  
Marcelo Gradella Villalva ◽  
Rubem Cesar Rodrigues Souza

2013 ◽  
Vol 397-400 ◽  
pp. 397-400
Author(s):  
Xing Liang ◽  
De Hui Liu ◽  
Jia Zhang Gui ◽  
Yun Min Xie ◽  
Jin Guang Huang

A mathematical model of hydropower units shaft is established to characterize the rotor motion with coupling faults which compose of mass eccentricity fault, parallel misalignment fault and angle misalignment fault, and then the simulation results is employed to analyze the impact weight of faults above for vibration and rubbing based on orthogonal test. The research showed that: the major-minor order of impact factors are mass eccentricity, parallel misalignment and angle misalignment. Additionally, the rotating rate is also related to the rotor vibration, and the high rate is easy to induce the rubbing under coupling faults.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5757
Author(s):  
Vicente Biot-Monterde ◽  
Ángela Navarro-Navarro ◽  
Jose A. Antonino-Daviu ◽  
Hubert Razik

The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonly used. In many industrial applications, the IM are driven by different types of starters, quite often by soft-starters. Despite rotor damages are more prone to occur in line-started motors, these kind of failures have been also reported in those ones driven by soft-starters. Related to this, the use of these type of starters may introduce some harmonic components, that could veil the magnetic flux signature of the different rotor faults. So, the aim of this study is to confirm if the Stray Flux Analysis technique maintains its reliability in these cases. Thus, this article presents the results of soft-started induction motors start-up tests, both in healthy and faulty motors. The fault components are detected by analyzing the stray flux during the starting and the study is complemented by analyzing the stray flux during the steady-state. In addition to the failure patterns, numerical indicators have been found so the identification of the failures is not only qualitative, but also quantitative. The results confirm the potential of the technique for detecting electromechanical failures in soft-started SCIMs.


Diagnostyka ◽  
2020 ◽  
Vol 21 (3) ◽  
pp. 41-47
Author(s):  
Salah Yahia Cherif ◽  
Djamel Benoudjit ◽  
Mohamed-Said Nait-Said ◽  
Nasreddine Nait-Said

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