Open Circuit Fault Diagnosis Strategy for Switch of Three Level Inverter

Authors

Yanxia Shen, 1. The Internet of Things Technology Application Engineering Research Center of the Ministry of Education, Jiangnan University, Wuxi 214122, China;;2. Institute of Electrical Automation, Jiangnan University,Wuxi 214122, China;
Beibei Miao, 1. The Internet of Things Technology Application Engineering Research Center of the Ministry of Education, Jiangnan University, Wuxi 214122, China;;2. Institute of Electrical Automation, Jiangnan University,Wuxi 214122, China;

Abstract

Abstract: Fault diagnosis of switch is the premise of reliable operation of three-level-inverter under the fault of the switch. Taking simple open circuit fault of the diode neutral point clamped (NPC) three level inverter as an example, the open circuit fault diagnosis method based on the combination of online and offline diagnoses is proposed. The fault phase is detected by the mean value of the bridge arm phase voltages. In the time domain, the fault switch tube is diagnosed by the maximum and minimum values of the load phase voltages. In the frequency domain, the amplitude of the fault signal is extracted by the fast Fourier transform (FFT), and the open circuit fault diagnosis of the NPC three-level-inverter is realized by using the BP neural network. Simulation results show that this method can greatly reduce the workload and improve the accuracy of fault diagnosis.

Recommended Citation

Shen, Yanxia and Miao, Beibei (2019) "Open Circuit Fault Diagnosis Strategy for Switch of Three Level Inverter," Journal of System Simulation: Vol. 30: Iss. 8, Article 29.
DOI: 10.16182/j.issn1004731x.joss.201808029
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/29

First Page

3058

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808029

Last Page

3065

CLC

TM464

Recommended Citation

Shen Yanxia, Miao Beibei. Open Circuit Fault Diagnosis Strategy for Switch of Three Level Inverter[J]. Journal of System Simulation, 2018, 30(8): 3058-3065.

DOI

10.16182/j.issn1004731x.joss.201808029