Riera-Guasp, Martín; Antonino-Daviu, J.; Capolino, Gérard-André(Institute of Electrical and Electronics Engineers, 2015)
[EN] Recently, research concerning electrical machines and drives condition monitoring and fault diagnosis has experienced extraordinarily dynamic activity. The increasing importance of these energy conversion devices and ...
Yeo, Joel; Jin, Huifei; Rodrigo Mor, Armando; Yuen, Chau; Tushar, Wayes; Saha, Tapan K.; Seng Ng, Chee(Institute of Electrical and Electronics Engineers, 2021-06-30)
[EN] This paper proposes to administer a multi-step artificial intelligence approach with an ensemble of adaptive neural networks (NNs) trained on 50000 samples to identify partial discharge (PD) diagnostic measurements ...
[EN] This paper proposes an algorithmic approach constructed from a convolutional recurrent neural network (CRNN) iterated with examination of extracted features for partial discharge (PD) localisation; tests were conducted ...