Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise

The influence of environmental noise is generally excluded during research on machine fault diagnosis using acoustic signals. This study proposes a fault diagnosis method using a variational autoencoder (VAE) and domain adaptation neural network (DANN), both of which are based on unsupervised learni...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-11-01
Sarja:	Sensors
Aiheet:	MIMII forklift PHM fault diagnosis MFCC STFT
Linkit:	https://www.mdpi.com/1424-8220/24/22/7319
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