Work

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection

Year: 2021

Type: conference-paper

Source: IFIP advances in information and communication technology

DOI: 10.1007/978-3-030-79150-6_27

Authors: Gabriel Coelho, Pedro Pereira, Luis Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André Ferreira, Paulo Cortez, André Pilastri

Institutions: Centro ALGORITMI, University of Minho, Centro de Computação Gráfica

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Programa Operacional Temático Factores de Competitividade

OpenAlex ID: W3174242583

FWCI: 2.321

Cites: 37

Cited by: 11

Related to: 10