2020 IEEE Energy Conversion Congress and Exposition (ECCE) 2020
DOI: 10.1109/ecce44975.2020.9236140
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A New Model-Based Fault Detection and Localization Scheme for Cascaded H-bridge Multilevel Converter

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Cited by 6 publications
(1 citation statement)
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“…The assumption-verification method is adopted to locate the faulty switch within 50ms, taking a longer locating time when multiple faults occur. Similarly, the estimation error of grid current is used for the fault detection, and the modulation method is changed for fault localization in [18], where the specific time instants need to be obtained, and the changed modulation results in increased current harmonics. According to the model predictive control (MPC) features, the literature [19] compares the predicted current with the actual one to detect the fault, and single or multiple open-circuit faults are diagnosed by the 2168-6777 (c) 2021 IEEE.…”
mentioning
confidence: 99%
“…The assumption-verification method is adopted to locate the faulty switch within 50ms, taking a longer locating time when multiple faults occur. Similarly, the estimation error of grid current is used for the fault detection, and the modulation method is changed for fault localization in [18], where the specific time instants need to be obtained, and the changed modulation results in increased current harmonics. According to the model predictive control (MPC) features, the literature [19] compares the predicted current with the actual one to detect the fault, and single or multiple open-circuit faults are diagnosed by the 2168-6777 (c) 2021 IEEE.…”
mentioning
confidence: 99%