A Simple, Fast, and Robust Open-Phase Fault Detection Technique for Six-Phase Induction Motor Drives

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


2017 ◽  
Vol 1 (15) ◽  
pp. 473-478 ◽  
Author(s):  
N. Rios-Garcia ◽  
M.J. Duran ◽  
Gonzalez-Prieto ◽  
C. Martin ◽  
F. Barrero

2014 ◽  
Vol 24 (02) ◽  
pp. 1550021 ◽  
Author(s):  
Veli Türkmenoğlu ◽  
Mustafa Aktaş ◽  
Serkan Karataş ◽  
Halil İbrahim Okumuş

This paper introduces a method for detection and identification of IGBT-based drive open-circuit fault of DTC induction motor drives. The detection mechanism is based on soft set theory and wavelet decomposition, if it is detailed, ⊼-product decision making method and sym2 wavelet decomposition have been used in the detection mechanism. In this method, the stator currents have been used as an input to the system. The stator current has been used for the detection of the fault. The signal analysis has been performed up to the six level details wavelets decomposition. Faulty switch is detected by applying soft set theory to sixth level wavelets transformation. This is the first time applied to inverter in induction motor drives fault detection. The results demonstrate that the proposed fault detection and diagnosis system has very good capabilities.


2013 ◽  
Vol 7 (7) ◽  
pp. 607-617 ◽  
Author(s):  
Xinan Zhang ◽  
Gilbert Foo ◽  
Mahinda Don Vilathgamuwa ◽  
King Jet Tseng ◽  
Bikramjit Singh Bhangu ◽  
...  

Automatika ◽  
2016 ◽  
Vol 57 (3) ◽  
pp. 736-748 ◽  
Author(s):  
Toufik Roubache ◽  
Souad Chaouch ◽  
Mohamed-Saïd Naït-Saïd

2018 ◽  
Vol 65 (4) ◽  
pp. 3045-3055 ◽  
Author(s):  
Ignacio Gonzalez-Prieto ◽  
Mario J. Duran ◽  
Natalia Rios-Garcia ◽  
Federico Barrero ◽  
Cristina Martin

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