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A Non-Intrusive Method for Monitoring the Degradation of MOSFETs

机译:一种用于监测MOSFET退化的非侵入式方法

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摘要

Highly reliable embedded systems have been widely applied in the fields of aerospace, nuclear power, high-speed rail, etc., which are related to security and economic development. The reliability of the power supply directly influences the security of the embedded system, and has been the research focus of numerous electronic information and energy studies. The degradation of power modules occupies a dominant position among the key factors affecting the power supply reliability. How to dynamically determine the degradation state and forecast the remaining useful life of working power modules is critical. Therefore, an online non-intrusive method of obtaining the degradation state of MOSFETs based on the Volterra series is proposed. It uses the self-driving signal of MOSFETs as a non-intrusive incentive, and extracts the degradation characteristics of MOSFETs by the frequency-domain kernel of the Volterra series. Experimental results show that the identification achieved by the method agrees well with the theoretical analysis.
机译:高度可靠的嵌入式系统已广泛应用于与安全和经济发展有关的航空航天,核电,高铁等领域。电源的可靠性直接影响嵌入式系统的安全性,已经成为众多电子信息和能源研究的重点。在影响电源可靠性的关键因素中,电源模块的退化占据着主导地位。如何动态确定退化状态并预测工作电源模块的剩余使用寿命至关重要。因此,提出了一种基于Volterra级数的在线非侵入式获取MOSFET退化状态的方法。它使用MOSFET的自驱动信号作为非干扰激励,并通过Volterra系列的频域内核提取MOSFET的退化特性。实验结果表明,该方法与理论分析结果吻合较好。

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