scholarly journals Applicability Analysis of Indices-Based Fault Detection Technique of Six-Phase Induction Motor

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5905
Author(s):  
Khaled Farag ◽  
Abdullah Shawier ◽  
Ayman S. Abdel-Khalik ◽  
Mohamed M. Ahmed ◽  
Shehab Ahmed

The multiphase induction motor is considered to be the promising alternative to the conventional three-phase induction motor, especially in safety-critical applications because of its inherent fault-tolerant feature. Therefore, the attention of many researchers has been paid to develop different techniques for detecting various fault types of multiphase induction motors, to securely switch the control mode of the multiphase drive system to its post-fault operation mode. Therefore, several fault detection methods have been researched and adapted; one of these methods is the indices-based fault detection technique. This technique was firstly introduced to detect open-phase fault of multiphase induction motors. The main advantage of this technique is that its mathematical formulation is straightforward and can easily be understood and implemented. In this paper, the study of the indices-based fault detection technique has been extended to test its applicability in detecting some other stator and rotor fault types of multiphase induction motors, namely, open-phase, open-switch, bad connection and broken rotor bar faults. Experimental and simulation validations of this technique are also introduced using a 1 kW prototype symmetrical six-phase induction motor.

2018 ◽  
Vol 33 (1) ◽  
pp. 547-557 ◽  
Author(s):  
Mario J. Duran ◽  
Ignacio Gonzalez-Prieto ◽  
Natalia Rios-Garcia ◽  
Federico Barrero

2009 ◽  
Vol 40 (3) ◽  
pp. 289-296 ◽  
Author(s):  
Z. Sun ◽  
J. Wang ◽  
D. Howe ◽  
G.W. Jewell

Author(s):  
Umakanta Mahanta ◽  
Bhabesh Chandra Mohanta ◽  
Anup Kumar Panda ◽  
Bibhu Prasad Panigrahi

Torque ripple reduction is one of the major challenges in switching table-based direct torque control (DTC) while operating for open phase faults of an induction motor, as the switching vectors are unevenly distributed. This can be minimized by increasing the level of the inverter and with the use of multi-phase motors. Fuzzy logic-based DTC is another solution to the above problem. In this paper, a comparative analysis is done between switching table-based DTC (ST-DTC) and fuzzy logic-based DTC for increasing the performance during open phase faults of a five-phase induction motor. The result shows that in fuzzy logic-based DTC with a two-level inverter, the torque ripple is reduced by 5.164% as compared with ST-DTC with a three-level inverter. The fuzzy logic-based DTC with the three-level inverter also gives better performance as compared with fuzzy logic-based DTC with the two-level inverter. The current ripple also reduced by 9.605% with respect to ST-DTC. Thus, fuzzy logic-based DTC is more suitable and cost effective for open phase fault-tolerant drives.


2012 ◽  
Vol 3 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Manjeevan Seera ◽  
Chee Peng Lim ◽  
Dahaman Ishak

In this paper, a fault detection and diagnosis system for induction motors using motor current signature analysis and the Fuzzy Min-Max (FMM) neural network is described. The finite element method is first employed to generate experimental data for predicting the changes in stator current signatures of an induction motor due to broken rotor bars. Then, a series real laboratory experiments is for broken rotor bars detection and diagnosis. The induction motor with broken rotor bars is operated under different load conditions. In all the experiments, the FMM network is used to learn and distinguish between normal and faulty states of the induction motor based on the input features extracted from the power spectral density. The experimental results positively demonstrate that the FMM network is useful for fault detection and diagnosis of broken rotor bars in induction motors.


2019 ◽  
Vol 4 (1) ◽  
pp. 191-202 ◽  
Author(s):  
Patryk Strankowski ◽  
Jarosław Guziński ◽  
Filip Wilczyński ◽  
Marcin Morawiec ◽  
Arkadiusz Lewicki

Abstract The paper presents the sensorless five-phase induction motor drive implementation with an inverter output filter with third harmonic injection. For the sensorless operation, the required observers are presented for the first and third harmonics with consideration of the inverter output filter. Moreover, the interaction of the observers and the control system is capable to handle a deactivation of one or two phases, which improves the reliability of the complete drive system. A new idea of online open-phase fault detection is presented based on the frequency analysis of the estimated observer variables. The test setup, fault operation capabilities and an experimental verification of the proposed fault detection method are presented in the paper.


Sign in / Sign up

Export Citation Format

Share Document