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• W4308993009 abstract "In industry generally uses multilevel inverters (MLI) for high voltage and high power applications. As the number of switches increases in a multilevel inverter, the possibility of faults increases. A paramount concern for the power industry is the trustability of multilevel inverters. To increase the reliability of a switch, methods for detecting faults are necessary. This paper focuses on open switch fault detection and neutral point clamped (NPC) inverter classification. A fuzzy logic controller is used to diagnose faults, a logic-based approach. Based on the Discrete Fourier Transformation (DFT) output voltages and currents, fault detection and classification are carried out on faulty switches and clamping diodes. Clamping diodes are also susceptible to breakdown, although switches are more fragile. So it is crucial to develop a method for clamping diode fault diagnosis. Pulse width modulation (PWM) is also used to generate the gate pulse of insulated-gate bipolar transistors (IGBT) switches. Various simulations have been performed to validate the effectiveness of the proposed method." @default.
• W4308993009 created "2022-11-20" @default.
• W4308993009 creator A5005452287 @default.
• W4308993009 creator A5014690231 @default.
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• W4308993009 date "2022-09-23" @default.
• W4308993009 modified "2023-10-16" @default.
• W4308993009 title "Open-Switch Fault Detection and Classification in Five-Level Neutral-Point-Clamped Inverter by Using Fuzzy Interface System" @default.
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• W4308993009 doi "https://doi.org/10.1109/globconpt57482.2022.9938287" @default.
• W4308993009 hasPublicationYear "2022" @default.
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