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Automatic Fault Detection in a Cascaded Transformer Multilevel Inverter Using Pattern Recognition Techniques
(Lecture notes in Computer Science, 2020)
An approach based on neural networks for identification of fault sections in radial distribution systems
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Hybrid model for fault detection and diagnosis in an industrial distillation column
(De Gruyter, 2020-07)
The present work describes a method of automatic fault detection and identification based on a hybrid model (HM): First Principles – Neural Network. The FPM can simulate a wide range of situations while the NN corrects the ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Detecção automática de falhas em motores de combustão interna utilizando rede neuralAutomatic fault detection in spark engine using neural network
(Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Engenharia MecânicaEngenhariasUFU, 2016)
An approach based on neural networks for identification of fault sections in radial distribution systems
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...