Author
Listed:
- Jing Tang
(School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)
- Jie Chen
(School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)
- Kan Dong
(China Academy of Railway Sciences Co. Ltd., Beijing 100081, China)
- Yongheng Yang
(Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)
- Haichen Lv
(Beijing Qiansiyu Electric Co. Ltd., Beijing 100082, China)
- Zhigang Liu
(School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Beijing Engineering Research Center for Electrical Rail Transit, Beijing 100044, China)
Abstract
The modeling of stator and rotor faults is the basis of the development of online monitoring techniques. To obtain reliable stator and rotor fault models, this paper focuses on dynamic modeling of the stator and rotor faults in real-time, which adopts a multiple-coupled-circuit method by using a winding function approach for inductance calculation. Firstly, the model of the induction machine with a healthy cage is introduced, where a rotor mesh that consists of a few rotor loops and an end ring loop is considered. Then, the stator inter-turn fault model is presented by adding an extra branch with short circuit resistance on the fault part of a stator phase winding. The broken rotor bar fault is then detailed by merging and removing the broken-bar-related loops. Finally, the discrete models under healthy and faulty conditions are developed by using the Tustin transformation for digital implementation. Moreover, the stator and rotor mutual inductances are derived as a function of the rotor position according to the turn and winding functions distribution. Simulations and experiments are performed on a 2.2-kW/380-V/50-Hz three-phase and four-pole induction motor to show the performance of the stator and rotor faults, where the saturation effect is considered in simulations by exploiting the measurements of a no load test. The simulation results are in close agreement with the experimental results. Furthermore, magnitudes of the characteristic frequencies of 2 f 1 in torque and (1 ± 2 s ) f 1 in current are analyzed to evaluate the stator and rotor fault severity. Both indicate that the stator fault severity is related to the short circuit resistance. Further, the number of shorted turns and the number of continuous broken bars determines the rotor fault severity.
Suggested Citation
Jing Tang & Jie Chen & Kan Dong & Yongheng Yang & Haichen Lv & Zhigang Liu, 2019.
"Modeling and Evaluation of Stator and Rotor Faults for Induction Motors,"
Energies, MDPI, vol. 13(1), pages 1-20, December.
Handle:
RePEc:gam:jeners:v:13:y:2019:i:1:p:133-:d:302299
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Cited by:
- Muhammad Usman Sardar & Toomas Vaimann & Lauri Kütt & Ants Kallaste & Bilal Asad & Siddique Akbar & Karolina Kudelina, 2023.
"Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques,"
Energies, MDPI, vol. 16(15), pages 1-41, July.
- Muhammed Ali Gultekin & Ali Bazzi, 2023.
"Review of Fault Detection and Diagnosis Techniques for AC Motor Drives,"
Energies, MDPI, vol. 16(15), pages 1-22, July.
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