scholarly journals Aging Monitoring Method of Bond Wires Based on Phase-Frequency Characteristics of Differential Mode Conducted Interference Signal for IGBT Module

Author(s):  
Chengpeng Chu ◽  
Chao Dong ◽  
Jing Hu ◽  
Mingxing Du ◽  
Ziwei Ouyang
Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1449
Author(s):  
Chuankun Wang ◽  
Yigang He ◽  
Yunfeng Jiang ◽  
Lie Li

Due to the constant changes of the environment and load, the insulated-gate bipolar transistor (IGBT) module is subjected to a large amount of junction temperature (Tj) fluctuations, which often leads to damage to the bond wires. The monitoring parameters of IGBTs are often coupled with Tj, which increases the difficulty of monitoring IGBTs’ health status online. In this paper, based on the collector current (Ic) and collector-emitter on-state voltage (Vce_on) online monitoring circuit, an online monitoring method of IGBT bond wire aging against interference is proposed. First, the bond wire aging model is established, and the Vce_on is selected as the monitoring parameter. Secondly, taking a three-phase inverter circuit as an example, the Vce_on and Ic waveforms of the IGBT module are monitored in real time, and the process of online monitoring is introduced accordingly. Finally, the experimental results indicate that the method proposed in this paper can accurately identify the aging state of IGBT bond wires under different conditions.


2021 ◽  
Vol 36 (1) ◽  
pp. 888-897
Author(s):  
Kaihong Wang ◽  
Luowei Zhou ◽  
Pengju Sun ◽  
Xiong Du

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3962 ◽  
Author(s):  
Zilang Hu ◽  
Xinglai Ge ◽  
Dong Xie ◽  
Yichi Zhang ◽  
Bo Yao ◽  
...  

The aging fracture of bonding wire is one of the main reasons for failure of insulated gate bipolar transistor (IGBT). This paper proposes an online monitoring method for IGBT bonding wire aging that does not interfere with the normal operation of the IGBT module. A quantitative analysis of aging degree was first performed, and the results of multivariate and univariate monitoring were compared. Based on the relationship between the monitoring parameters and the aging of the IGBT bonding wire, gradual damage of the IGBT bond wire was implemented to simulate aging failure and obtain the aging data. Moreover, the change of junction temperature was considered to regulate monitoring parameters. Then, the aging degree was evaluated by an artificial neural network (ANN) algorithm. The experimental results showed the effectiveness of the proposed method.


2019 ◽  
Vol 66 (9) ◽  
pp. 3953-3960 ◽  
Author(s):  
Lei Jing ◽  
Mingxing Du ◽  
Kexin Wei ◽  
William Gerard Hurley

2013 ◽  
Vol 53 (2) ◽  
pp. 282-287 ◽  
Author(s):  
Luowei Zhou ◽  
Shengqi Zhou ◽  
Mingwei Xu
Keyword(s):  

2017 ◽  
Vol 32 (5) ◽  
pp. 3777-3786 ◽  
Author(s):  
Pengju Sun ◽  
Can Gong ◽  
Xiong Du ◽  
Yingzhou Peng ◽  
Bo Wang ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1791 ◽  
Author(s):  
Qingyi Kong ◽  
Mingxing Du ◽  
Ziwei Ouyang ◽  
Kexin Wei ◽  
William Gerard Hurley

On-state voltage is an important thermal parameter for insulated gate bipolar transistor (IGBT) modules. It is employed widely to predict failure in IGBT module bond wires. However, due to restrictions in work environments and measurement methods, it is difficult to ensure the measurement accuracy for the on-state voltage under practical working conditions. To address this problem, an on-state voltage separation strategy is proposed for the IGBT modules with respect to the influence of collector current (Ic) and junction temperature (Tj). This method involves the separation of the on-state voltage into a dependent part and two independent parts during the IGBT module bond wire prediction. Based on the proposed separation strategy, the independent parts in the failure prediction can be removed, making it possible to directly monitor the voltage variations caused by bond wire failure. The experimental results demonstrate that the proposed diagnosis strategy can accurately predict the bond wire failure stage in an IGBT module under different conditions.


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