Condition Monitoring of Power Electronic Circuits Using Artificial Neural Networks

This letter investigates the effectiveness of a static neural network (NN) for monitoring of power electronic circuits. The NN is trained to form a mapping between the inputs and outputs of a power electronic circuit, which in this study is considered to be a full-bridge diode rectifier. Dynamic mod...

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Veröffentlicht in:	IEEE transactions on power electronics 2009-10, Vol.24 (10), p.2363-2367
Hauptverfasser:	Mohagheghi, S., Harley, R.G., Habetler, T.G., Divan, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace industry Applied sciences Artificial neural networks Circuit design Circuits Condition monitoring Diodes Electric circuits Electric, optical and optoelectronic circuits Electrical engineering. Electrical power engineering Electronic circuits Electronic equipment and fabrication. Passive components, printed wiring boards, connectics Electronics Exact sciences and technology Identification Input output input-output mapping Monitoring multilayer perceptron (MLP) neural network (NN) Neural networks Power electronics Power electronics, power supplies Power engineering and energy Power engineering computing Rectifiers Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Switching circuits
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