Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

Article

Abstract: Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. Cons

Palabras claves:

3D printers, Adversarial learning, Condition-Based Maintenance, convolutional neural networks, Fault Detection

Autores:

Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Valente de Oliveira J.

Fuentes:

google

scopus