Fault Diagnosing for Electric Motors Based in Noise Data Classification Using Deep Learning

Conference Object

Abstract: Timely detection of potential engine failures is essential for preventive maintenance of equipment.

Palabras claves:

Audio Anomaly Classification, deep learning, Engine Failures, Spectrogram Analysis

Autores:

Enrique Pelaez, Francis R. Loayza, Josue Davalos Carrera, Paulette Vazquez Matute

Fuentes:

scopus