Multi-Switches Fault Diagnosis Based on Small Low-Frequency Data for Voltage-Source Inverters of PMSM Drives

2019 ◽  
Vol 34 (7) ◽  
pp. 6845-6857 ◽  
Author(s):  
Zhanjun Huang ◽  
Zhanshan Wang ◽  
Xianshuang Yao ◽  
Huaguang Zhang
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 63619-63625 ◽  
Author(s):  
Zhang Jian-Jian ◽  
Chen Yong ◽  
Chen Zhang-Yong ◽  
Zhou Anjian

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Linhao Liao ◽  
Haibo Gao ◽  
Yelan He ◽  
Xiaobin Xu ◽  
Zhiguo Lin ◽  
...  

Capacitance aging of DC link capacitors in voltage source inverters (VSIs) is a common fault which can lead to instability of the DC voltage. In such a failure state, although the VSI can still work, its performance gradually deteriorates, resulting in a shorter service life of the equipment. Here, an online monitoring and fault diagnosis method for capacitance aging based on evidence reasoning (ER) rule is presented. Features from the DC link voltage data with different levels of capacitance aging are extracted, and data features are generated as pieces of diagnostic evidence, which are then combined according to the ER rule. Finally, capacitance aging fault levels were estimated using the combined results. This method has better diagnostic performance compared to a backpropagation (BP) neural network approach and can be used to flexibly define the relative weighting of each evidence parameter depending on the application. This approach can therefore be widely used for fault diagnosis of an array of different devices.


Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1251 ◽  
Author(s):  
Tao Chen ◽  
Yuedou Pan ◽  
Zhanbo Xiong

This paper presents an open-circuit (OC) fault diagnosis method of three-phase voltage-source inverters (VSIs) for permanent magnet synchronous motor (PMSM) drive systems based on the hybrid system model (HSM). On the basis of phase voltage analysis, the HSM of the PMSM-inverter system was established, which can describe the system more accurately. To quickly diagnose whether the fault occurs, a current estimator was constructed based on the healthy HSM. Different fault types of the VSI can be simulated synchronously by the HSM, and the similarity between each simulated fault type and the actual one is evaluated based on the Euclidean distance method. Therefore, the fault isolation can be carried out according to the characteristics of Euclidean distances. The proposed method has the advantages of fast diagnosis speed and strong robustness, and it does not require additional sensors. By the presented diagnosis algorithm, the fault can be detected and isolated within a time interval about 5% and 10% of the current fundamental wave period, respectively. The simulation and experimental results verify the effectiveness of the proposed method.


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