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        Short-circuit protection method for medium-voltage SiC MOSFET based on gate-source voltage detection

        Wang, Zhankuo,Tong, Chaonan,Huang, Weichao The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.4

        During the short-circuit fault of a two-level bridge converter based on silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs), the SiC MOSFETs may fail within a few microseconds without short-circuit protection. The short-circuit protection of SiC MOSFETs is an essential feature for improving the reliability of converters. This study proposes an improved short-circuit protection method for medium-voltage SiC MOSFETs subjected to shoot-through conditions. In the protection method, the gate-source voltage of the SiC MOSFETs in a half bridge is detected to determine whether a shoot-through short circuit occurs or not. A desaturation protection circuit based on V<sub>DS</sub> measurement for a short circuit is also designed for overcurrent. The protection circuit's validity is verified by the experimental results. Compared with conventional commercial driver integrated circuits, the proposed method can detect and turn off SiC MOSFETs in 0.2 ㎲ under the shoot-through condition. Desaturation protection can be completed in 0.5 ㎲ when overcurrent occurs.

      • Analysis and Modeling for Stray Inductance of Commutation Circuit in Indirect Matrix Converter

        Yang Mei,Ziyu Liu,Shiheng Niu,Weichao Huang 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5

        Due to the complex commutation method and process of IMC, the stray inductances of the commutation circuit cannot be negligible, which induces voltage spikes while the power device operates at high frequency. As a result, the voltage stress of power devices is increased, which even causes over voltage damage of the power device. In order to estimate the stray inductance and select appropriate devices, the equivalent circuit model of the commutation circuit is constructed, and the main factors and the effect mechanism are analyzed based on the analysis of the commutation process and circuit of the IMC. A 3D model of the IMC is established by ANSYS software based on the electromagnetic calculation to extract the stray inductance of commutation circuit. The experimental results show that the accurately stray inductance parameters of the commutation circuit can be obtained by using the model, which demonstrates the validity of the analysis and modeling.

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        A Risk Prediction Model for Invasive Fungal Disease in Critically Ill Patients in the Intensive Care Unit

        Fangyi Li,Minggen Zhou,Zijun Zou,Weichao Li,Canxia Huang,Zhijie He 한국간호과학회 2018 Asian Nursing Research Vol.12 No.4

        Purpose: Developing a risk prediction model for invasive fungal disease based on an analysis of the disease-related risk factors in critically ill patients in the intensive care unit (ICU) to diagnose the invasive fungal disease in the early stages and determine the time of initiating early antifungal treatment. Methods: Data were collected retrospectively from 141 critically ill adult patients with at least 4 days of general ICU stay at Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from February 2015 to February 2016. Logistic regression was used to develop the risk prediction model. Discriminative power was evaluated by the area under the receiver operating characteristics (ROC) curve (AUC). Results: Sequential organ failure assessment (SOFA) score, antibiotic treatment period, and positive culture of Candida albicans other than normally sterile sites are the three predictors of invasive fungal disease in critically ill patients in the ICU. The model performs well with an ROC-AUC of .73. Conclusion: The risk prediction model performs well to discriminate between critically ill patients with or without invasive fungal disease. Physicians could use this prediction model for early diagnosis of invasive fungal disease and determination of the time to start early antifungal treatment of critically ill patients in the ICU.

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