Analysis of the Degradation of MOSFETs in Switching Mode Power Supply by Characterizing Source Oscillator Signals

Author:

Zheng Xueyan12,Wu Lifeng12,Guan Yong12,Li Xiaojuan12

Affiliation:

1. College of Information Engineering, Capital Normal University, Beijing 100048, China

2. Beijing Engineering Research Center of High Reliable Embedded System, Capital Normal University, Beijing 100048, China

Abstract

Switching Mode Power Supply (SMPS) has been widely applied in aeronautics, nuclear power, high-speed railways, and other areas related to national strategy and security. The degradation of MOSFET occupies a dominant position in the key factors affecting the reliability of SMPS. MOSFETs are used as low-voltage switches to regulate the DC voltage in SMPS. The studies have shown that die-attach degradation leads to an increase in on-state resistance due to its dependence on junction temperature. On-state resistance is the key indicator of the health of MOSFETs. In this paper, an online real-time method is presented for predicting the degradation of MOSFETs. First, the relationship between an oscillator signal of source and on-state resistance is introduced. Because oscillator signals change when they age, a feature is proposed to capture these changes and use them as indicators of the state of health of MOSFETs. A platform for testing characterizations is then established to monitor oscillator signals of source. Changes in oscillator signal measurement were observed with aged on-state resistance as a result of die-attach degradation. The experimental results demonstrate that the method is efficient. This study will enable a method to predict the failure of MOSFETs to be developed.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Influence of Temperature on the EFT Immunity of Multistage Integrated Oscillators;IEEE Transactions on Electromagnetic Compatibility;2023-02

2. Comprehensive Study of MOSFET Degradation in Power Converters and Prognostic Failure Detection Using Physical Model;Journal of The Institution of Engineers (India): Series B;2022-11-01

3. Anomaly Detection and Degradation Prediction of MOSFET;Mathematical Problems in Engineering;2015

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