Planetary Gear Tooth Fault Detection Using Stator Current Space Vector Analysis in Induction Machine-Based Systems

被引:1
作者
Kia, Shahin Hedayati [1 ]
El Hajjaji, Ahmed [1 ]
Marzebali, Mohammad Hoseintabar [2 ]
机构
[1] Univ Picardie Jules Verne, Modeling Informat & Syst Lab EA 4290, Amiens, France
[2] Shahrood Univ Technol, Dept Elect Engn, Shahrood, Iran
来源
2019 23RD INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY (ICMT 2019) | 2019年
关键词
Fault detection; Gears; Simulation; Mechanical systems; Stator current space vector analysis; Wound rotor induction machines; MOTOR CURRENT; VIBRATION; DIAGNOSIS;
D O I
10.1109/icmect.2019.8932157
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of this article is to present the planetary gear tooth fault detection using stator current space vector analysis in steady-state working condition of induction machine-based systems. For this study a universal method is used. The proposed technique is mainly relied on the computation of a transfer function which defines the response of the stator current space vector to the perturbations induced by gear tooth fault of the planetary gear located within the drive train. The idea of electrical-mechanical analogy is employed to facilitate the computation of the mentioned transfer function. This approach is considered as an upstream phase for studying the feasibility of gear tooth fault diagnosis using non-invasive measurement. A fault index is recommended for the fault severity evaluation at different levels of the mechanical load. The performance of the proposed fault index is validated through experiments using a representative induction machine-based test rig which includes a three-phase 5.5kW wound rotor induction machine connected to a fixed ring single-stage planetary gearbox.
引用
收藏
页数:6
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