A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines

Article

Abstract: Anomaly detection in time series is an important task to many applications, e.g, the maintenance pol

Palabras claves:

Anomaly detection, deep learning, prototype selection, Rotating machinery

Autores:

Diego Cabrera Mendieta, Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., René-Vinicio Sánchez Loja

Fuentes:

google

scopus