Abstract
This paper proposed the technique for fault diagnosis of open circuit faults in three phase voltage source Inverter (VSI).Fault diagnosis is determining which fault occurred. Fault diagnosis (FD) methods of the power converter are implemented using Park’s Vector Transform, Discrete Wavelet Transform, Artificial Neural Network, Fuzzy Logic, etc. These methods are implemented needs to train machine learning based algorithm which needs to features extraction as well as features selection. This work proposes an open switch fault diagnostic method in a three-phase voltage source inverter to minimize volume of selected features to diagnose faults.
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Sonawane, V., Patil, S.B., Dhumale, R.B. (2022). Fault Diagnosis of Voltage Source Inverter Using Machine Learning Techniques. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_25
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DOI: https://doi.org/10.1007/978-981-16-7985-8_25
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