A research team led by Prof. Gao Ge and Jiang Li from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has investigated the fault diagnosis of a pulse width modulation converter and proposed a neural network fault diagnosis algorithm to solve existing problems in this field. Results were published in IEEE Transactions on Power Electronics.
Researchers propose a novel fault diagnosis algorithm for pulse width modulation converter
