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The traditional fault diagnosis method for photovoltaic (PV) inverters has had a difficult time meeting the requirements of the current complex systems. The main weakness lies in the study of nonlinear systems, but the diagnosis time is also long, and the accuracy is low. To solve these problems, we use a hidden Markov model (HMM) that has unique advantages in its training model and recognition for...
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